3272 Looker Jobs - Page 40

Who We’re Looking For: We’re looking for a performance-driven SEO leader with 6–8 years of experience, who knows how to scale organic traffic across large websites (50,000+ pages) and is excited about leveraging AI tools for smarter SEO. If you come from high-growth B2C industries like travel, insurance, e-commerce, or edtech—and you thrive on turning SEO into a lead-generation engine—this is the role for you. What You’ll Do: Lead end-to-end SEO strategy across technical, on-page, and off-page initiatives Use AI-powered tools (e.g., Surfer, Jasper, ChatGPT, Clearscope) to enhance content, automate audits, and optimize workflows Manage SEO operations for 50,000+ indexed pages with a focus on quality traffic, search visibility, and conversion Manage and mentor a small team of SEO specialists (up to 5 team members) Identify and resolve technical SEO issues, including crawling, indexing, site speed, and structured data Collaborate with content, tech, design, and marketing teams to ensure SEO is integrated into every part of the funnel Monitor keyword trends, algorithm updates, and competitor performance to adjust strategy Translate SEO performance into clear, actionable insights using tools like GA4, GSC, Ahrefs, SEMrush, and Looker Studio What You Bring: 6–8 years of solid SEO experience, preferably in B2C-focused companies Proven track record in managing SEO for large-scale websites with tens of thousands of pages Strong experience with AI-based SEO tools and automation workflows Expertise in technical SEO, site architecture, schema markup, and mobile-first optimization Strong analytical skills with the ability to identify patterns, measure performance, and make data-backed decisions Ability to work cross-functionally with product, tech, and marketing teams Excellent communication and leadership skills Why Join Us? Full ownership of SEO roadmap in a data- and growth-driven team Opportunity to innovate using the latest SEO and AI tools Direct impact on business goals, growth, and lead generation Work in a collaborative, high-ownership, and fast-paced environment

WHAT YOU'LL DO Lead the development of scalable data infrastructure solutions Leverage your data engineering expertise to support data stakeholders and mentor less experienced Data Engineers. Design and optimize new and existing data pipelines Collaborate with a cross-functional product engineering teams and data stakeholders deliver on Codecademy’s data needs WHAT YOU'LL NEED 8 to 10 years of hands-on experience building and maintaining large scale ETL systems Deep understanding of database design and data structures. SQL, & NoSQL. Fluency in Python. Experience working with cloud-based data platforms (we use AWS) SQL and data warehousing skills -- able to write clean and efficient queries Ability to make pragmatic engineering decisions in a short amount of time Strong project management skills; a proven ability to gather and translate requirements from stakeholders across functions and teams into tangible results WHAT WILL MAKE YOU STAND OUT Experience with tools in our current data stack: Apache Airflow, Snowflake, dbt, FastAPI, S3, & Looker. Experience with Kafka, Kafka Connect, and Spark or other data streaming technologies Familiarity with the database technologies we use in production: Snowflake, Postgres, and MongoDB. Comfort with containerization technologies: Docker, Kubernetes, etc.

Confidence can sometimes hold us back from applying for a job. Here’s a secret: there's no such thing as a "perfect" candidate. Poshmark is looking for exceptional people who want to make a positive impact through their work and help create an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day. Job Description Are you passionate about improving how people search and discover products online? Do you enjoy diving into data, refining systems, and driving cross-functional outcomes that directly impact business performance? Poshmark is looking for a Search Operations Manager to power the intelligence behind our platform’s search experience. In this role, you’ll be at the intersection of data, technology, and shopper experience—building the operational backbone that fuels product discovery and personalization for millions of users. What You’ll Be Doing Search Quality Management: Own and improve the accuracy, relevance, and success of Poshmark’s search experience. Manage rating workflows, identify broken queries, and continuously raise the bar on user experience Manage and collaborate closely with a team of analysts and human raters to: Define clear rating guidelines and performance benchmarks that reflect evolving business goals and user expectations. Establish end-to-end processes for query evaluation, including task creation, priority setting, QA checks, and performance monitoring. Implement scalable review systems that maintain data consistency across high query volumes and varied product categories. Train and mentor analysts/raters, fostering a shared understanding of relevance, intent, and shopper behavior. Continuously refine workflows based on new product features, algorithmic changes, or emerging search trends—ensuring alignment with personalization and AI/ML strategies. Leverage tools and automation to reduce manual overhead, while maintaining tight controls on accuracy, completeness, and data hygiene. Keyword & Query Optimization - Analyze performance of high-volume queries, optimize synonym libraries, reduce zero-result searches, and ensure smarter results through curated dictionaries and keyword tuning. Catalog & Metadata Enhancement - Partner with merchandising and product teams to ensure structured, complete, and high-quality product data—fueling our AI/ML-driven personalization features. Search Funnel Analytics - Define KPIs across the search journey (from impression to conversion), own dashboards, and deliver insights that shape product and operations strategy. Align with leadership and industry trends to build and operationalise strategies Tooling & Automation: Evangelise and drive the need for internal tools that improve and automate processes. Work closely and operationally (hands on approach) with engineers and PMs to scope, execute internal tools that increase operational efficiency. Collaborating closely with a team of analysts and human raters to: Define clear rating guidelines and performance benchmarks that reflect evolving business goals and user expectations. Establish end-to-end processes for query evaluation, including task creation, priority setting, QA checks, and performance monitoring. Implement scalable review systems that maintain data consistency across high query volumes and varied product categories. Train and mentor analysts/raters, fostering a shared understanding of relevance, intent, and shopper behavior. Continuously refine workflows based on new product features, algorithmic changes, or emerging search trends—ensuring alignment with personalization and AI/ML strategies. Leverage tools and automation to reduce manual overhead, while maintaining tight controls on accuracy, completeness, and data hygiene. Stakeholder Management: Drive alignment on strategic vision with key stakeholders, translating plans into focused execution. Proactively assess outcomes, course-correct in real time, and integrate feedback seamlessly. Operate with urgency and precision—monitoring progress, anticipating risks, and communicating proactively to maintain momentum, clarity, and engagement across teams and leadership. You'll Collaborate Closely With Search PM teams to align operational priorities with roadmap goals. Merchandising and Catalog Ops to clean and structure product data. Analysts and raters to build workflows that scale with quality. Data Science & ML teams to improve personalization accuracy with better data inputs. Business stakeholders to establish and align goals, report progress and prioritize action items. You Might Be a Great Fit If You Have 7–8 years in Search Ops, Catalog Ops, Product Operations, in e-commerce or marketplaces. Hands-on experience managing search query quality, taxonomy, or metadata enhancement. Strong analytical and reporting skills (Excel/Sheets, SQL, or visualization tools like Looker/Tableau). Experience working across time zones in fast-paced, cross-functional environments. Bonus: Familiarity with U.S. fashion retail and merchandising, marketplace platforms, or search engine rating systems. Search is one of Poshmark’s most powerful engines for growth. You’ll play a central role in shaping how users find products, how well our personalization models perform, and how we scale discovery experiences to millions of shoppers. If you’re excited by the challenge of optimizing millions of daily search interactions—and making a measurable impact —we’d love to meet you. Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. View Poshmark's Job Applicant Privacy Policy here.

Job Title : Digital Analyst Web & Experience Analytics Experience Required : 7+ Years Location : [Remote/Hybrid] Employment Type : [Full-time] Job Summary The Digital Analyst will drive insights into user behavior and site performance across the digital landscape. This role supports experience optimization through advanced analytics, journey analysis, and actionable reporting for stakeholders across UX, Product, and Marketing. Key Responsibilities Analyze user journeys, funnels, traffic patterns, and engagement metrics to inform experience strategy. Develop dashboards and performance reports using tools like Tableau or Power BI. Translate complex analytics into clear business insights for cross-functional teams. Collaborate with optimization and marketing teams to support A/B testing and personalization analysis. Ensure data quality through validation of tagging and analytics setup (via GTM or Adobe Launch). Identify user behavior trends to surface actionable UX and content insights. Required Skillset & Experience Minimum 5 years of experience in digital analytics or web data analysis. Strong knowledge of GA4, Adobe Analytics, or other enterprise analytics tools. Experience with visualization tools such as Tableau, Power BI, or Looker. Ability to translate data into clear, actionable insights. Good understanding of customer journeys and digital experience KPIs. Familiarity with tagging frameworks and GTM/Adobe Launch. Technology Platforms & Tools GA4 Adobe Analytics GTM / Adobe Launch Tableau / Power BI / Looker Studio Hotjar Excel/Sheets

WHAT YOU'LL DO Build scalable data infrastructure solutions Design and optimize new and existing data pipelines Integrate new data sources into our existing data architecture Collaborate with a cross-functional product engineering teams and data stakeholders deliver on Codecademy’s data needs WHAT YOU'LL NEED 3 to 5 years of hands-on experience building and maintaining large scale ETL systems Deep understanding of database design and data structures. SQL, & NoSQL. Fluency in Python. Experience working with cloud-based data platforms (we use AWS) SQL and data warehousing skills -- able to write clean and efficient queries Ability to make pragmatic engineering decisions in a short amount of time Strong project management skills; a proven ability to gather and translate requirements from stakeholders across functions and teams into tangible results WHAT WILL MAKE YOU STAND OUT Experience with tools in our current data stack: Apache Airflow, Snowflake, dbt, FastAPI, S3, & Looker. Experience with Kafka, Kafka Connect, and Spark or other data streaming technologies Familiarity with the database technologies we use in production: Snowflake, Postgres, and MongoDB. Comfort with containerization technologies: Docker, Kubernetes, etc.

Seeking a Data Analyst to significantly contribute to identifying best fit for one or more projects. Candidate will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions focused on our customers business needs. Key Responsibilities: Works independently within Data and Analytics with limited design help from manager or senior associates Advanced proficiency in SQL for querying, data manipulation, and optimization. Ability to write complex SQL queries, including subqueries, joins. Preferably 2 years' experience with Snowflake. Ability to write complex SQL queries, including subqueries, joins. Leverage coding best practices and advanced techniques to ensure efficient execution of code against large datasets, ensuring code is repeatable and scalable Run, create and optimize standard processes to ensure metrics, reports and insights are delivered consistently to stakeholders with minimal manual intervention Leverage knowledge of data structures to prepare data for ingestion efforts, analysis, assembling data from disparate data sources for the creation of insights; accurately integrate new and complex data sources Review output of code for anomalies and perform analysis to determine cause, and work with Data, Analytics, Product and Technology counterparts to implement corrective measures Understands the concepts of quantitative and qualitative data and how to relate them to the customer to show value of analysis. Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis

We are heavily dependent on BigQuery/Snowflake, Airflow, Stitch/Fivetran, dbt , Tableau/Looker for our business intelligence and embrace AWS with some GCP. As a Data Engineer,Developing end to end ETL/ELT Pipeline.

This role is for one of Weekday's clients Min Experience: 6 years Location: Pune, Hyderabad JobType: full-time Requirements About the Role: CriticalRiver is seeking a Senior Business Intelligence (BI) Analyst to lead and drive advanced analytics and reporting initiatives that support key decision-making across the organization. This role will be instrumental in managing a team of data professionals while also being hands-on with data tools and methodologies. The successful candidate will possess deep technical expertise in SQL, Python, Tableau, Power BI, and Looker , and a strong foundation in statistical modeling , A/B testing , and data visualization . Experience with Google Cloud Platform (GCP) and tools like Jupyter Notebook will be highly beneficial. Key Responsibilities: Team Leadership & Project Management: Lead and mentor a team of data analysts to develop actionable insights, campaign performance reports, and ad hoc data requests. Oversee the design, development, and deployment of reports and dashboards aligned to business objectives. Campaign Analytics & Business Metrics: Design, measure, and analyze marketing and product campaigns using A/B testing, hypothesis testing, and regression analysis. Summarize key business metrics and identify trends, anomalies, and improvement opportunities across verticals. Data Modeling & Statistical Analysis: Build frameworks and predictive models for customer segmentation, clustering, and ROI optimization. Apply statistical methods to forecast performance, evaluate campaign effectiveness, and drive business strategy. Reporting & Visualization: Develop interactive and scalable dashboards using Tableau, Power BI, and Looker. Collaborate with stakeholders to build intuitive data visualizations and presentations for various business units. Process Automation & Efficiency: Use SQL and Python to automate ETL pipelines, reduce manual reporting efforts, and streamline workflows. Enhance data governance and accuracy through validation processes and quality checks. Training & Mentorship: Conduct internal training sessions on SQL, Python, and data analysis best practices. Foster a culture of continuous learning and analytical rigor within the team. Stakeholder Collaboration: Partner with business leaders, product owners, and marketing teams to translate business requirements into analytical solutions. Deliver timely insights and provide strategic recommendations to influence critical decisions. Vendor & Tool Management: Manage external analytics vendors and oversee third-party data tools. Evaluate and implement new BI tools and technologies to enhance the team's capabilities. Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. 6+ years of hands-on experience in business intelligence, data analytics, or a similar role. Advanced proficiency in SQL, Python, Tableau, Power BI, and Looker. Experience with GCP, Jupyter Notebook, and working in a cloud-based analytics environment. Strong background in hypothesis testing, regression analysis, clustering, and A/B testing. Proven ability to lead cross-functional teams and deliver business insights under tight deadlines. Excellent communication and stakeholder management skills

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries. What will you do at Fynd ? Work effectively both independently and as a member of a cross-functional team Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analytics Organize and analyze large, diverse data sets across multiple platforms Identify key insights and leverage them to inform and influence product strategy Technical Interactions with the vendors or partners in a technical capacity for scope/ approach & deliverable. Develops proof of concept to prove or disprove the validity of the concept Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficient reporting on those requirements Designing and implementing advanced statistical testing for customized problem solving Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations. Some Specific Requirements Excellent analytics, logical, problem-solving and numerical skills Candidates with 1-4 years of relevant experience in Data Analytics / Business Analytics Prior experience in data analytic tools & delivering presentations Thorough querying skills on SQL or No-SQL databases Knowledge of python, R for data analysis Experience with ETL processes and Warehousing is good to have Adept at using data processing platforms like Google Big Query, Hadoop and Apache Spark Knowledge of at least one data analysis platform: Data Studio/ Metabase / Tableau / Looker / SQL Ability to put forth complex ideas easily via oral or written communication Expertise in Data Mining, Statistical Analysis, Regression, Segmentation, Time Series Forecasting, and modeling. What do we offer? Growth Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially. Flex University We help you upskill by organising in-house courses on important subjects Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you. Culture Community and Team building activities Host weekly, quarterly and annual events/parties. Wellness Mediclaim policy for you + parents + spouse + kids Experienced therapist for better mental health, improve productivity & work-life balance We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment!

Joining Preferred immediate joiners. Job Summary: We are looking for a detail-oriented and analytical Data Analyst with 3 to 5 years of experience to support data-driven decision-making across the organization. The ideal candidate will be responsible for collecting, processing, and analyzing data to generate actionable insights that improve business outcomes. Key Responsibilities: Analyze large datasets to identify trends, patterns, and opportunities for improvement. Create dashboards, reports, and visualizations using BI tools to present findings to business stakeholders. Work closely with cross-functional teams to understand their data needs and deliver timely solutions. Write and optimize SQL queries to extract and manipulate data from various databases. Clean, transform, and validate data to ensure accuracy and reliability. Assist in the design and development of data models and reporting structures. Translate business requirements into technical specifications for reporting and analysis. Monitor key performance indicators (KPIs) and support root cause analysis for deviations. Perform ad hoc analysis and deep dives into specific business questions. Document data definitions, processes, and data sources. Technical Skills Required: Languages & Tools: SQL (Advanced) Excel (Advanced with Pivot Tables, VLOOKUP, Macros) Python or R (for data analysis and visualization optional but preferred) BI & Visualization Tools: Power BI, Tableau, Qlik Sense, Looker, or equivalent Databases & Platforms: SQL Server, PostgreSQL, MySQL, Oracle Experience with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery) is a plus Other Tools: Jupyter Notebooks, Google Sheets, Alteryx (optional) Git or other version control systems (optional) Qualifications: Bachelor's degree in Statistics , Mathematics , Computer Science , Economics , or related field. 35 years of experience as a Data Analyst , Business Analyst , or in a similar analytical role. Strong analytical and critical thinking skills with attention to detail. Excellent communication skills and ability to explain complex data to non-technical stakeholders. Ability to prioritize and manage multiple tasks and projects simultaneously. Preferred Certifications (Optional): Microsoft Certified: Data Analyst Associate (Power BI) Google Data Analytics Professional Certificate Tableau Desktop Specialist

This role is for one of Weekday's clients Min Experience: 6 years Location: Pune, Hyderabad JobType: full-time Requirements About the Role: CriticalRiver is seeking a Senior Business Intelligence (BI) Analyst to lead and drive advanced analytics and reporting initiatives that support key decision-making across the organization. This role will be instrumental in managing a team of data professionals while also being hands-on with data tools and methodologies. The successful candidate will possess deep technical expertise in SQL, Python, Tableau, Power BI, and Looker , and a strong foundation in statistical modeling , A/B testing , and data visualization . Experience with Google Cloud Platform (GCP) and tools like Jupyter Notebook will be highly beneficial. Key Responsibilities: Team Leadership & Project Management: Lead and mentor a team of data analysts to develop actionable insights, campaign performance reports, and ad hoc data requests. Oversee the design, development, and deployment of reports and dashboards aligned to business objectives. Campaign Analytics & Business Metrics: Design, measure, and analyze marketing and product campaigns using A/B testing, hypothesis testing, and regression analysis. Summarize key business metrics and identify trends, anomalies, and improvement opportunities across verticals. Data Modeling & Statistical Analysis: Build frameworks and predictive models for customer segmentation, clustering, and ROI optimization. Apply statistical methods to forecast performance, evaluate campaign effectiveness, and drive business strategy. Reporting & Visualization: Develop interactive and scalable dashboards using Tableau, Power BI, and Looker. Collaborate with stakeholders to build intuitive data visualizations and presentations for various business units. Process Automation & Efficiency: Use SQL and Python to automate ETL pipelines, reduce manual reporting efforts, and streamline workflows. Enhance data governance and accuracy through validation processes and quality checks. Training & Mentorship: Conduct internal training sessions on SQL, Python, and data analysis best practices. Foster a culture of continuous learning and analytical rigor within the team. Stakeholder Collaboration: Partner with business leaders, product owners, and marketing teams to translate business requirements into analytical solutions. Deliver timely insights and provide strategic recommendations to influence critical decisions. Vendor & Tool Management: Manage external analytics vendors and oversee third-party data tools. Evaluate and implement new BI tools and technologies to enhance the team's capabilities. Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. 6+ years of hands-on experience in business intelligence, data analytics, or a similar role. Advanced proficiency in SQL, Python, Tableau, Power BI, and Looker. Experience with GCP, Jupyter Notebook, and working in a cloud-based analytics environment. Strong background in hypothesis testing, regression analysis, clustering, and A/B testing. Proven ability to lead cross-functional teams and deliver business insights under tight deadlines. Excellent communication and stakeholder management skills

About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love. Join our team, and help us shape the future of anime! About The Role Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans. We are seeking a Data Analyst with strong SQL skills and experience in dashboard development, data governance, and analytics. The ideal candidate will work closely with stakeholders across the organization to turn raw data into actionable insights, ensuring data accuracy, consistency, and compliance. You will play a key role in optimizing reporting frameworks, building data visualizations, and supporting data-driven decision-making. Key Responsibilities: Write efficient, optimized SQL queries to extract, transform, and analyze data from relational databases (e.g., RDS, Snowflake, Databricks). Develop, maintain, and enhance interactive dashboards and reports using BI tools such as Tableau, Looker. Ensure data quality, integrity, and governance by implementing best practices in data validation, lineage tracking, and documentation. Collaborate with cross-functional teams to define key metrics, create standardized reporting frameworks, and improve data accessibility. Support ad-hoc analysis to answer critical business questions and drive strategic decision-making. Partner with data engineering teams to improve ETL/ELT pipelines, ensuring clean and structured data for analysis. Monitor and analyze cloud and database usage costs, identifying opportunities to optimize query performance, storage, and infrastructure costs. Work with stakeholders to understand business needs and translate them into data-driven insights and reports. Implement data governance best practices to ensure compliance with privacy, security, and regulatory requirements. About You We get excited about candidates, like you, because... Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. 5+ years of experience in data analysis, business intelligence, or analytics roles. Strong SQL skills with the ability to write complex queries, optimize performance, and work with large datasets. Experience with dashboarding and BI tools (Tableau, Looker, Power BI, or Mode). Understanding of data governance, data cataloging, and compliance best practices. Familiarity with ETL/ELT workflows and experience working with data engineers on pipeline improvements. Experience with cloud cost monitoring tools and optimizing query performance and storage costs. Strong problem-solving and analytical skills, with a keen eye for data accuracy and visualization best practices. Excellent communication skills, with the ability to present insights to both technical and non-technical stakeholders. Good to Have: Experience with cloud data platforms such as AWS Snowflake, or Databricks. Familiarity with Python for data analysis. Experience working with data cataloging and metadata management tools ( Alation, Databricks Unity Catalog). About The Team The Data Services team is focused on building robust, scalable, and efficient data services, pipelines, lakes, tools, libraries, and software components that drive best practices and empower service teams to succeed. We design and implement data services, pipelines and data lakes for operational analysis, ensuring they are production-ready with automation and standardized access controls. We also provide data insights and tools to our users to be able to analyze the data. We lead and evangelize the principle of 100% automation. Additionally, we establish best practices, provide training, and document data architectures to ensure our systems are reliable, future-ready, and capable of continuous evolution and process improvement across the organization. About Our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.

About the Role: We are seeking a highly skilled Senior Data Engineer with extensive experience in Google Cloud to join our dynamic team. In this role, you will be responsible for designing, implementing, and optimizing data pipelines and architectures to support our data-driven decision-making processes. You will collaborate with cross-functional teams to ensure the seamless integration and utilization of data across the organization. Key Responsibilities Design and develop scalable data pipelines and architectures using Google Cloud Platform (GCP) services. Create and maintain optimum data pipeline architecture for ingestion, storage, processing & transformation of data for building data products for analytics Implement data integration solutions to consolidate data from various sources. Build the optimal data extraction & transformation mechanisms for various kinds of data. Optimize data storage and retrieval processes for performance and cost-efficiency. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all data processes. Conduct pro-active performance and fine tuning for early detection and rectification of slow response, application errors, tuning, and implement corrective and preventive actions. Monitor and troubleshoot data pipeline issues to ensure continuous data flow. Build data pipelines which are scalable, resilient and sustainable to address business requirements. Excellent problem-solving skills and attention to detail. Stay updated with the latest trends and best practices in data engineering and Google Cloud technologies. Be Part Of An Extraordinary Story Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible. Job Posting Jul 10, 2025, 1:31:05 PM Required Skills Proven experience as a Senior Data Engineer, with a focus on Google Cloud Platform (GCP). Strong proficiency in GCP services such as BigQuery, Dataproc, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage. Expertise in SQL and database management. Experience with ETL processes and tools. Proficiency in Python programming language. Knowledge of data modeling, data warehousing, and data lakes. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills Experience with machine learning and AI frameworks. Knowledge of containerization and orchestration tools. Experience with data visualization tools (Tableau, PowerBI, Looker). Understanding of data governance and compliance standards. Knowledge of airline domain Knowledge of agile/lean development methodologies About You The applicant should have a bachelor’s degree or equivalent (Degree in engineering, computer applications, commerce, or business administration). You must have minimum 8 years of data engineering experience.Should have excellent verbal and written communications skills. Also possess good analytical, interpersonal skills and a proven team player. About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. How To Apply If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.

We are specifically looking for candidates with strong SQL skills, along with experience in Snowflake or Looker

Experience : 3.00 + years Salary : Confidential (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Metric Marketing) (*Note: This is a requirement for one of Uplers' client - MM EdTech) What do you need for this opportunity? Must have skills required: Google Ads, Looker Studio, Meta Ads Manager, microsoft bing ads, Attention-to-Detail, Digital Advertising, Google Analytics, LinkedIn Ads MM EdTech is Looking for: About The Role The client is looking for an experienced, data-driven digital marketing/advertising specialist responsible for developing and implementing digital advertising strategies for clients. The ideal candidate will have a deep understanding of the customer journey, extensive experience with paid advertising channels and managing large media budgets, and will be confident in developing and implementing strategies and tactics that involve channels targeting users at various stages of their journey. This role collaborates closely with our Project Management and Creative teams and reports directly to the Digital Advertising Manager. Requirements 3+ years experience in a digital advertising role Agency experience in paid digital advertising Experience working in Google Analytics 4, Looker Studio and other dashboard/reporting tools Experience managing multiple paid campaigns simultaneously in Google Ads, Meta Ads Manager, Microsoft Bing Ads, LinkedIn ads and other ad platforms. Experience suggesting and adjusting media budgets based on objectives and performance Solid understanding of concepts like measurement planning, customer journeys, digital advertising strategies, lead generation Data-driven with the ability to interpret data and turn it into understandable, actionable insights Proven track record of working with teams in Creative, Design and Development Passion for the digital advertising industry and evolving ad platforms, policies and opportunities Excellent written and verbal communication skills Roles Digital campaign strategy planner Digital campaign implementer Digital subject matter expert Digital campaign optimizer Google Analytics advisor Key Accountabilities Development of paid campaign digital strategies Identify target audience segments on paid channels Recommend digital media budgets Work with Creative and Design teams to craft digital ads Work with Analytics team to configure campaign conversion tracking Work with Content and Design teams to optimize campaign landing pages Setup digital campaigns on all major paid channels including Google Ads, Facebook, Instagram, Microsoft Bing, LinkedIn, and other ad platforms. Optimize campaigns on all paid channels to achieve maximum ROI Provide marketing/campaign performance reporting using Google Analytics and Looker Studio Provide insight and analyze data as a digital subject matter expert. Competencies Detail-oriented: Doesn’t miss details, follows plans, uses checklists Organized: Maintains Google Drive folder structure, ad campaign organization, thoughtful utm links and analytics tracking mechanisms Collaborative: Ability to work well with other people. No egos, just ideas. Strategic: Looks at problems from multiple angles to determine best approach Pragmatic: Finds the best way, all things considered Communication: Speaks and writes clearly and articulately without being overly verbose or talkative. Maintains this standard in all forms of written communications including email. Teamwork: Reaches out to peers and cooperates with team to establish an overall collaborative working relationship Calm under pressure: Maintains stable performance when under pressure or stress Flexibility/adaptability: Adjusts quickly to changing priorities and conditions. Copes effectively with complexity and change. Learns quickly. Proactive: Motivated self-starter, doesn’t wait for others, acts without being told what to do Assertive: Confident, takes charges Work ethic: Possesses a strong willingness to work hard and get the job done. Enthusiasm: Exhibits passion and excitement over work. Has a can-do attitude. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : Confidential (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Metric Marketing) (*Note: This is a requirement for one of Uplers' client - MM EdTech) What do you need for this opportunity? Must have skills required: Google Ads, Looker Studio, Meta Ads Manager, microsoft bing ads, Attention-to-Detail, Digital Advertising, Google Analytics, LinkedIn Ads MM EdTech is Looking for: About The Role The client is looking for an experienced, data-driven digital marketing/advertising specialist responsible for developing and implementing digital advertising strategies for clients. The ideal candidate will have a deep understanding of the customer journey, extensive experience with paid advertising channels and managing large media budgets, and will be confident in developing and implementing strategies and tactics that involve channels targeting users at various stages of their journey. This role collaborates closely with our Project Management and Creative teams and reports directly to the Digital Advertising Manager. Requirements 3+ years experience in a digital advertising role Agency experience in paid digital advertising Experience working in Google Analytics 4, Looker Studio and other dashboard/reporting tools Experience managing multiple paid campaigns simultaneously in Google Ads, Meta Ads Manager, Microsoft Bing Ads, LinkedIn ads and other ad platforms. Experience suggesting and adjusting media budgets based on objectives and performance Solid understanding of concepts like measurement planning, customer journeys, digital advertising strategies, lead generation Data-driven with the ability to interpret data and turn it into understandable, actionable insights Proven track record of working with teams in Creative, Design and Development Passion for the digital advertising industry and evolving ad platforms, policies and opportunities Excellent written and verbal communication skills Roles Digital campaign strategy planner Digital campaign implementer Digital subject matter expert Digital campaign optimizer Google Analytics advisor Key Accountabilities Development of paid campaign digital strategies Identify target audience segments on paid channels Recommend digital media budgets Work with Creative and Design teams to craft digital ads Work with Analytics team to configure campaign conversion tracking Work with Content and Design teams to optimize campaign landing pages Setup digital campaigns on all major paid channels including Google Ads, Facebook, Instagram, Microsoft Bing, LinkedIn, and other ad platforms. Optimize campaigns on all paid channels to achieve maximum ROI Provide marketing/campaign performance reporting using Google Analytics and Looker Studio Provide insight and analyze data as a digital subject matter expert. Competencies Detail-oriented: Doesn’t miss details, follows plans, uses checklists Organized: Maintains Google Drive folder structure, ad campaign organization, thoughtful utm links and analytics tracking mechanisms Collaborative: Ability to work well with other people. No egos, just ideas. Strategic: Looks at problems from multiple angles to determine best approach Pragmatic: Finds the best way, all things considered Communication: Speaks and writes clearly and articulately without being overly verbose or talkative. Maintains this standard in all forms of written communications including email. Teamwork: Reaches out to peers and cooperates with team to establish an overall collaborative working relationship Calm under pressure: Maintains stable performance when under pressure or stress Flexibility/adaptability: Adjusts quickly to changing priorities and conditions. Copes effectively with complexity and change. Learns quickly. Proactive: Motivated self-starter, doesn’t wait for others, acts without being told what to do Assertive: Confident, takes charges Work ethic: Possesses a strong willingness to work hard and get the job done. Enthusiasm: Exhibits passion and excitement over work. Has a can-do attitude. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title : Senior Analyst- Launch and Commercialization Data Location: Hyderabad About the job Strategic context: Sanofi has currently the best and more robust pipeline of R&D and consequent new launches of our history. As new phase of Play-To-Win strategy, funding this pipeline and new launches is key to materialize the miracles of the science to improve people lives. Thus, as we enter the next phase, modernization of Sanofi is required as per the recent announcements on DRIVE, and in this respect, we are in the beginning stages of organizing the Go-to-Market Capabilities (GTMC) team at global level. GTMC organization will help us to drive best-in-class capabilities across the board and bring value and excellence in our commercial operations. This move is a key part of the aimed modernization of Sanofi and will allow us to focus on our priorities across our products, market and pipeline through the reallocation of resources and realizing the efficiencies of removing silos that exist between our business units, avoiding the duplication and overlapping of resources, standardizing our processes and tools, operating with a One Sanofi approach to accelerate our key capabilities development, and fostering the entrepreneurial spirit by speeding up the decision making. As part of GTMC, the vision of the launch and commercialization pillar is the establishment a new Sanofi wide Launch excellence cross functional framework, ensuring excellence in Medico Marketing fundamentals and upskilling the Medico Marketing teams with cutting edge new technologies, capabilities and ways of working. Launch and commercialization will not only be a centre for expertise and though leaders but also an important support to execute on those best-in-class capabilities. On this journey, our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? The Senior Analyst - Launch and Commercialization Data will support the launch and commercialization team by consolidating both quantitative and qualitative data to assess product launch effectiveness. This role involves tracking KPIs, forecasting, and consolidating data to provide actionable insights, while ensuring high-quality data collection and reporting. The analyst will collaborate with global teams to deliver comparative analytics across multiple product launches, aiding in strategic decision-making and process improvements. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main responsibilities: Analytical support for Performance Launch and Effectiveness (Lead/team): Review/provide analytical support to the Performance Launch Effectiveness Lead/team, working on ad-hoc requests and reporting for launch performance projects. Quantitative Data Consolidation : Coordinate collection, organization, and consolidation of quantitative data from internal and external sources to support the evaluation of launch performance. Review/create standard templates for reporting, automating data extraction where possible to reduce manual effort. Review/analyze internal benchmarks such as historical performance and compare them with external benchmarks from the industry to measure product launch effectiveness. Supervise/Assist in forecasting by providing data-driven insights, ensuring accurate projection of market penetration, revenue potential, and launch KPIs. Qualitative Data Management: Lead the launch, management and creation of reports on surveys (including internal customer satisfaction, baseline assessments, and others) in collaboration with Analysts/team Ensure that qualitative data, such as user feedback, market insights, and internal learnings, is collected systematically and timely from relevant sources. Validate the quality and relevance of the collected data, ensuring it is presented in a digestible and actionable format for relevant stakeholders, clearly outlining what’s working and what needs adjustment. Oversee/conduct interviews with stakeholders to gather insights on success stories, lessons learned, and areas for improvement related to product launches. Review/consolidate findings, insights, and lessons learned. Performance Tracking: Coordinate tracking and interpretation of Key Performance Indicators (KPIs) and Key Initiative Indicators (KIIs) to measure launch effectiveness, identifying trends and gaps in performance. Guide the analysts for KPI/KII tracking and review interpretation of parameters. Collaboration and Communication: Work closely with commercial, marketing, and product teams to align data analysis efforts with business objectives. Proactively suggest improvement measures to the current process. People : (1) Work with cross-functional teams to understand the requirement for their respective teams; (2) Maintain effective relationship with the stakeholders within the allocated GTMC pillar and cross-pillars – with an end objective to ensure adherence and effectiveness of customer-engagement strategy/plans; (3) Constantly assist project team for communication/trainings on methods/processes/tools/platforms (4) Partner with Manager/Leads for individual development plans; (5) Collaborate with cross-functional teams in GTMC to train for continuous improvement/digital transformation/agile mindset/thoughtful risk taking; (6) Provide proactive recommendations on operational excellence and play an active role to follow the best practices in relation to processes, communications, training management, documentation and technical requirements Performance : (1) On-time tracking of effectiveness KPIs and report publishing; (2) Effectively communicate with cross-functional teams to constantly improve quality and productivity; (3) Recommend and implement tactical process improvements within the department and division-wide Process : (1) Monitor compliance and take actions as required to ensure 100% compliance; (2) Collate and publish metrics & reports as per defined frequency; (3) Stay up to date on current industry trends; (4) Maintain understanding of continuous improvement techniques, and agile methodology; (5) Contribute to overall quality enhancement; (6) Secure adherence to compliance procedures and internal/operational risk controls in accordance with any and all applicable regulatory standards; (7) Leverage advanced training delivery tools and techniques for enhancing the effectiveness of customer experience Stakeholder : (1) Work closely with GTMC/Omnichannel pillars (Global, Local, and Hub to deliver best-in-class capabilities About you Experience : 5-8 years of experience in data analysis, preferably in a pharmaceutical or healthcare setting. Proven experience in performance tracking and comparative analytics related to product launches. Analytical background with experience in forecasting, tracking KPIs, and interpreting data for actionable business insights. Soft skills : A highly analytical professional with strong problem-solving skills, able to derive valuable insights from both quantitative and qualitative data. Excellent communication abilities allow for clear presentation of data-driven insights to both technical and non-technical stakeholders. Meticulous attention to detail ensures data accuracy and integrity, while flexibility enables seamless adaptation to shifting priorities in a fast-paced business environment. Ability to work independently and within a team environment. Strong organizational and time management skills to effectively manage competing priorities. Technical skills : Advanced proficiency with Excel, Power BI, or similar data analysis and visualization tools.Experience with data visualization tools (e.g., Tableau, Power BI, Looker etc.) and knowledge of HTML and CSS is preferred.Ability to perform forecasting using historical data, market research, and industry benchmarks.Experience with internal and external benchmark analysis, comparing past launches and industry standards.Ability to visualize complex data in simple, actionable insights for non-technical stakeholders.Project Management experience and knowledge of key project management tools (i.e. Jira, Trello) is preferredExperience working with Social Media Platforms is desirable Education : Bachelor’s degree in data science, business analytics, statistics, economics, or a related field. Additionally, relevant advanced/postgraduate degree in data science/business analytics/management/similar discipline is desirable Languages : Excellent knowledge of English language (spoken and written) Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. Pursue Progress. Discover Extraordinary. Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue Progress. And let’s discover Extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Job tile: Analyst- Launch and Commercialization Data Location: Hyderabad About the job Strategic context: Sanofi has currently the best and more robust pipeline of R&D and consequent new launches of our history. As new phase of Play-To-Win strategy, funding this pipeline and new launches is key to materialize the miracles of the science to improve people lives. Thus, as we enter the next phase, modernization of Sanofi is required as per the recent announcements on DRIVE, and in this respect, we are in the beginning stages of organizing the Go-to-Market Capabilities (GTMC) team at global level. GTMC organization will help us to drive best-in-class capabilities across the board and bring value and excellence in our commercial operations. This move is a key part of the aimed modernization of Sanofi and will allow us to focus on our priorities across our products, market and pipeline through the reallocation of resources and realizing the efficiencies of removing silos that exist between our business units, avoiding the duplication and overlapping of resources, standardizing our processes and tools, operating with a One Sanofi approach to accelerate our key capabilities development, and fostering the entrepreneurial spirit by speeding up the decision making. As part of GTMC, the vision of the launch and commercialization pillar is the establishment a new Sanofi wide Launch excellence cross functional framework, ensuring excellence in Medico Marketing fundamentals and upskilling the Medico Marketing teams with cutting edge new technologies, capabilities and ways of working. Launch and commercialization will not only be a centre for expertise and though leaders but also an important support to execute on those best-in-class capabilities. On this journey, our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? The Analyst - Launch and Commercialization Data will support the launch and commercialization team by consolidating both quantitative and qualitative data to assess product launch effectiveness. This role involves tracking KPIs, forecasting, and consolidating data to provide actionable insights, while ensuring high-quality data collection and reporting. The analyst will collaborate with global teams to deliver comparative analytics across multiple product launches, aiding in strategic decision-making and process improvements. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main responsibilities: Analytical support for Performance Launch and Effectiveness (Lead/team): Provide analytical support to the Performance Launch Effectiveness Lead/team, working on ad-hoc requests and reporting for launch performance projects. Quantitative Data Consolidation : Collect, organize, and consolidate quantitative data from internal and external sources to support the evaluation of launch performance. Create standard templates for reporting, automating data extraction where possible to reduce manual effort. Analyze internal benchmarks such as historical performance and compare them with external benchmarks from the industry to measure product launch effectiveness. Assist in forecasting by providing data-driven insights, ensuring accurate projection of market penetration, revenue potential, and launch KPIs. Qualitative Data Management: Launching, managing and build reports on surveys (including internal customer satisfaction, baseline assessments, and others) Ensure that qualitative data, such as user feedback, market insights, and internal learnings, is collected systematically and timely from relevant sources. Validate the quality and relevance of the collected data, ensuring it is presented in a digestible and actionable format for relevant stakeholders, clearly outlining what’s working and what needs adjustment. Conduct interviews with stakeholders to gather insights on success stories, lessons learned, and areas for improvement related to product launches. Consolidate findings, insights, and lessons learned. Performance Tracking: Track and interpret Key Performance Indicators (KPIs) and Key Initiative Indicators (KIIs) to measure launch effectiveness, identifying trends and gaps in performance. Collaboration and Communication: Work closely with commercial, marketing, and product teams to align data analysis efforts with business objectives. Proactively suggest improvement measures to the current process. People : (1) Work with cross-functional teams to understand the requirement for their respective teams; (2) Maintain effective relationship with the stakeholders within the allocated GTMC pillar and cross-pillars – with an end objective to ensure adherence and effectiveness of customer-engagement strategy/plans; (3) Constantly assist project team for communication/trainings on methods/processes/tools/platforms (4) Partner with Manager/Leads for individual development plans; (5) Collaborate with cross-functional teams in GTMC to train for continuous improvement/digital transformation/agile mindset/thoughtful risk taking; (6) Provide proactive recommendations on operational excellence and play an active role to follow the best practices in relation to processes, communications, training management, documentation and technical requirements Performance : (1) On-time tracking of effectiveness KPIs and report publishing; (2) Effectively communicate with cross-functional teams to constantly improve quality and productivity; (3) Recommend and implement tactical process improvements within the department and division-wide Process : (1) Monitor compliance and take actions as required to ensure 100% compliance; (2) Collate and publish metrics & reports as per defined frequency; (3) Stay up to date on current industry trends; (4) Maintain understanding of continuous improvement techniques, and agile methodology; (5) Contribute to overall quality enhancement; (6) Secure adherence to compliance procedures and internal/operational risk controls in accordance with any and all applicable regulatory standards; (7) Leverage advanced training delivery tools and techniques for enhancing the effectiveness of customer experience Stakeholder : (1) Work closely with GTMC/Omnichannel pillars (Global, Local, and Hub to deliver best-in-class capabilities About you Experience : 3-5 years of experience in data analysis, preferably in a pharmaceutical or healthcare setting.Proven experience in performance tracking and comparative analytics related to product launches.Analytical background with experience in forecasting, tracking KPIs, and interpreting data for actionable business insights. Soft skills : A highly analytical professional with strong problem-solving skills, able to derive valuable insights from both quantitative and qualitative data. Excellent communication abilities allow for clear presentation of data-driven insights to both technical and non-technical stakeholders. Meticulous attention to detail ensures data accuracy and integrity, while flexibility enables seamless adaptation to shifting priorities in a fast-paced business environment. Ability to work independently and within a team environment. Strong organizational and time management skills to effectively manage competing priorities. Technical skills :Advanced proficiency with Excel, Power BI, or similar data analysis and visualization tools.Experience with data visualization tools (e.g., Tableau, Power BI, Looker etc.) and knowledge of HTML and CSS is preferred.Ability to perform forecasting using historical data, market research, and industry benchmarks.Experience with internal and external benchmark analysis, comparing past launches and industry standards.Ability to visualize complex data in simple, actionable insights for non-technical stakeholders.Project Management experience and knowledge of key project management tools (i.e. Jira, Trello) is preferredExperience working with Social Media Platforms is desirable Education : Bachelor’s degree in data science, business analytics, statistics, economics, or a related field. Additionally, relevant advanced/postgraduate degree in data science/business analytics/management/similar discipline is desirable Languages : Excellent knowledge of English language (spoken and written) Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. Pursue Progress. Discover Extraordinary. Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue Progress. And let’s discover Extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Now Hiring: Ads Manager / Performance Marketing Specialist Location: On-Site Company: Techadlien Private Limited. Type: Full-Time We’re looking for a result-oriented Ads Manager with proven experience in running and optimizing paid ad campaigns across: Meta Ads (Facebook + Instagram) Google Ads (Search, Display, YouTube) Basic YouTube/Video Ad strategy Lead generation, retargeting & performance campaigns What You’ll Do: Strategize, launch, and manage campaigns across Meta and Google Create & test high-performing ad creatives (in coordination with our design team) Track results (ROAS, CTR, CPA, CPL), optimize campaigns daily Set up & manage pixels, conversion tracking, audiences Generate campaign performance reports with insights and improvement plans What We Expect: 2–4 years of solid experience in Meta & Google ad platforms Proven results: ROAS / lead generation / traffic campaigns Hands-on with Ads Manager, Google Analytics, Looker Studio Familiarity with UTM tracking, funnel strategy, landing pages Bonus: Meta Blueprint / Google Ad certification Salary: Competitive – based on skill, portfolio, and performance Apply Now : Send your resume + campaign samples (if available) to: Hr@techadlien.com Subject: "Application – Ads Manager" Only serious, skilled professionals apply. If you're passionate about driving ROI and scaling digital campaigns — let’s talk. Job Type: Full-time Pay: ₹8,086.00 - ₹47,078.83 per month Schedule: Day shift Morning shift Night shift Rotational shift Weekend availability Work Location: In person

Mis executive ________________________________________ Job Title: Mis Executive – ECommerce Manufacturing Unit Location: Mundka Industrial Area Salary : 20-25k (depends on interview ) Job Type: Full-Time TIME : 9:30-6:00 ________________________________________ Job Summary: We are seeking a detail-oriented and tech-savvy MIS Executive to manage, optimize, and streamline data workflows in our eCommerce-driven manufacturing environment. The ideal candidate will have hands-on experience with Looker Studio, Appscript, Google Sheets, checklists, and enterprise management tools like FMS (Factory Management System), PMS (Production Management System), and IMS (Inventory Management System). Proficiency in writing and understanding Google Sheets formulas and automations is a must. ________________________________________ Key Responsibilities: Data Collection & Reporting: o Build and maintain automated dashboards and visualizations in Looker Studio. o Aggregate and analyze data from various systems (IMS, PMS, FMS, ERP, etc.). o Regularly update performance metrics and KPIs. Google Sheets & Automation: o Create dynamic reports using advanced Google Sheets formulas (ARRAYFORMULA, QUERY, IMPORTRANGE, etc.). Develop and maintain AppScripts to automate data processing tasks, with working knowledge of JavaScript and AppSheet. System Integration: o Collaborate with IT and operations teams to ensure seamless integration between Google Workspace, IMS, FMS, and PMS. o Ensure data accuracy across all tools and systems. Checklist & Compliance: o Design and manage digital checklists for operational processes, audits, and quality checks. o Monitor and flag compliance issues based on data entries. Process Optimization: o Identify data gaps and recommend process improvements. o Support cross-functional teams with data insights and analytics for informed decision-making. ________________________________________ Required Skills & Qualifications: 3–4 years of experience in a data management or analytics role, preferably in eCommerce or manufacturing. Strong knowledge of Looker Studio, Appscript, and Google Sheets. Proficiency in writing and debugging Google Sheets formulas. Familiarity with FMS, PMS, and IMS platforms. Experience in managing operational checklists and SOP documentation. Excellent attention to detail and data accuracy. Strong communication and problem-solving skills. ________________________________________ Preferred Qualifications: Understanding of supply chain, logistics, or factory operations. CONTACT INFO: NISHA +91 8448115439 Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Provident Fund Schedule: Day shift Application Question(s): Have you worked with any of these systems: FMS, PMS, or IMS? If yes, which ones and in what capacity? Which FMS system have you used or followed previously? How would you rate your Google Sheets skills (1–10)? What kind of tasks have you handled using it? Do you have experience with Google Apps Script, JavaScript, AppSheet, or all? Briefly explain your comfort level with each. Have you used Google Apps Script for automation? If yes, what kind of tasks did you automate? Do you have experience using Looker Studio? If yes, what reports or dashboards have you created? Which reporting tools have you used before? (Looker Studio, Power BI, Excel Dashboards, Google Sheets, etc.) Are you comfortable creating and maintaining checklists for daily/weekly/monthly tasks? Work Location: In person

Job Title: MIS Executive Location: Yamunanagar, Haryana Experience: 2–5 Years Salary: ₹30,000 – ₹55,000 per month (based on experience and skillset) Joining: Immediate preferred Preferred Candidate: Male candidate preferred About the Role We are seeking a detail-oriented and tech-savvy MIS Executive to join our team in Yamunanagar. The ideal candidate will have hands-on experience in automation, dashboard creation, and advanced spreadsheet management. Proficiency in AI tools and a strong analytical mindset are essential for success in this role. Key Responsibilities Develop, maintain, and optimize dashboards using Excel and Google Sheets Automate repetitive reporting tasks using scripts or AI-based tools Analyze large datasets to generate actionable insights and performance reports Collaborate with cross-functional teams to streamline data flow and reporting processes Ensure data accuracy, consistency, and timely delivery of MIS reports Implement AI tools to enhance reporting efficiency and decision-making Must-Have Skills Advanced proficiency in Microsoft Excel (Pivot Tables, VLOOKUP, Macros, etc.) Strong command of Google Sheets and Google Apps Script Experience with AI tools for data analysis or automation (e.g., ChatGPT, Bard, or similar) Knowledge of automation tools (e.g., Zapier, Power Automate, or custom scripting) Ability to design and manage interactive dashboards (e.g., Looker Studio, Power BI preferred) Excellent analytical, problem-solving, and communication skills Qualifications Bachelor’s degree in Computer Science, IT, Statistics, or a related field 2–5 years of relevant experience in MIS/Data Analysis roles What We Offer Competitive salary based on experience Opportunity to work with cutting-edge tools and technologies A collaborative and growth-oriented work environment Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹55,000.00 per month Schedule: Day shift Application Question(s): Your current salary? Are you comfortable with Village damla, Delhi road location in Yamunanagar Haryana? How many years of experience do you have as a core MIS Executive? Do you have experience working with AI Tools? Do you have working experience with Google Sheets, Advance Excel, PowerBI? Are you comfortable with the salary range in b/w 30-55k? Work Location: In person

Description The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you. We are seeking a passionate Business Intelligence Engineer II to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer II at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Key job responsibilities Collaborate across a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organization's analytical capabilities Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership Basic Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models Proficient in using BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Ability to effectively communicate technical concepts to both technical and non-technical stakeholders Excellent problem-solving, critical thinking, and analytical skills Experience leading cross-functional teams and driving the successful delivery of BI initiative Preferred Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3011889

Description The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you. We are seeking a passionate Business Intelligence Engineer II to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer II at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Key job responsibilities Collaborate across a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organization's analytical capabilities Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership Basic Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models Proficient in using BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Ability to effectively communicate technical concepts to both technical and non-technical stakeholders Excellent problem-solving, critical thinking, and analytical skills Experience leading cross-functional teams and driving the successful delivery of BI initiative Preferred Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3011877

Description The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you. We are seeking a passionate Business Intelligence Engineer II to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer II at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Key job responsibilities Collaborate across a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organization's analytical capabilities Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership Basic Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models Proficient in using BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Ability to effectively communicate technical concepts to both technical and non-technical stakeholders Excellent problem-solving, critical thinking, and analytical skills Experience leading cross-functional teams and driving the successful delivery of BI initiative Preferred Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3011886

Description The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you. We are seeking a passionate Business Intelligence Engineer II to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer II at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Key job responsibilities Collaborate across a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organization's analytical capabilities Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership Basic Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models Proficient in using BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Ability to effectively communicate technical concepts to both technical and non-technical stakeholders Excellent problem-solving, critical thinking, and analytical skills Experience leading cross-functional teams and driving the successful delivery of BI initiative Preferred Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 3+ years of experience as a Business Intelligence Engineer or similar senior-level role Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3011885