3272 Looker Jobs - Page 50

Industry & Sector Operating at the crossroads of financial services and advanced analytics, our client delivers cloud-native data platforms that unlock enterprise-scale insights and regulatory reporting. The organization champions Google Cloud innovation to modernize legacy warehouses and fuel AI-driven products. Role & Responsibilities Design, build and optimize petabyte-scale data marts on BigQuery for analytics and ML workloads. Develop ELT pipelines with Dataflow, Apache Beam and Cloud Composer, ensuring end-to-end observability. Implement partitioning, clustering and columnar compression strategies to reduce query cost and latency. Orchestrate batch and streaming workflows integrating Pub/Sub, Cloud Storage and external databases. Enforce data governance, lineage and security via IAM, DLP and encryption best practices. Partner with product, BI and ML teams to translate business questions into performant SQL and repeatable templates. Skills & Qualifications Must-Have 4+ years data engineering on GCP. Expert SQL and schema design in BigQuery. Proficient Python or Java with Beam SDK. Hands-on building Composer/Airflow DAGs. ETL performance tuning and cost optimization. Git, CI/CD and Terraform proficiency. Preferred Experience with Looker or Data Studio. Familiarity with Kafka or Pub/Sub streaming patterns. Data Quality tooling like Great Expectations. Spark on Dataproc or Vertex AI exposure. Professional Data Engineer certification. BFSI analytics domain knowledge. Benefits & Culture Highlights Modern Bengaluru campus with on-site labs and wellness facilities. Annual GCP certification sponsorship and dedicated learning budget. Performance-linked bonus and accelerated career paths. Skills: vertex ai,data studio,airflow,terraform,ci/cd,spark,beam sdk,bigquery,etl performance tuning,kafka,git,dataproc,data quality tooling,gcp,sql,schema design,java,cost optimization,etl,python,composer,looker,pub/sub

Industry & Sector Operating at the crossroads of financial services and advanced analytics, our client delivers cloud-native data platforms that unlock enterprise-scale insights and regulatory reporting. The organization champions Google Cloud innovation to modernize legacy warehouses and fuel AI-driven products. Role & Responsibilities Design, build and optimize petabyte-scale data marts on BigQuery for analytics and ML workloads. Develop ELT pipelines with Dataflow, Apache Beam and Cloud Composer, ensuring end-to-end observability. Implement partitioning, clustering and columnar compression strategies to reduce query cost and latency. Orchestrate batch and streaming workflows integrating Pub/Sub, Cloud Storage and external databases. Enforce data governance, lineage and security via IAM, DLP and encryption best practices. Partner with product, BI and ML teams to translate business questions into performant SQL and repeatable templates. Skills & Qualifications Must-Have 4+ years data engineering on GCP. Expert SQL and schema design in BigQuery. Proficient Python or Java with Beam SDK. Hands-on building Composer/Airflow DAGs. ETL performance tuning and cost optimization. Git, CI/CD and Terraform proficiency. Preferred Experience with Looker or Data Studio. Familiarity with Kafka or Pub/Sub streaming patterns. Data Quality tooling like Great Expectations. Spark on Dataproc or Vertex AI exposure. Professional Data Engineer certification. BFSI analytics domain knowledge. Benefits & Culture Highlights Modern Bengaluru campus with on-site labs and wellness facilities. Annual GCP certification sponsorship and dedicated learning budget. Performance-linked bonus and accelerated career paths. Skills: vertex ai,data studio,airflow,terraform,ci/cd,spark,beam sdk,bigquery,etl performance tuning,kafka,git,dataproc,data quality tooling,gcp,sql,schema design,java,cost optimization,etl,python,composer,looker,pub/sub

Industry & Sector Operating at the crossroads of financial services and advanced analytics, our client delivers cloud-native data platforms that unlock enterprise-scale insights and regulatory reporting. The organization champions Google Cloud innovation to modernize legacy warehouses and fuel AI-driven products. Role & Responsibilities Design, build and optimize petabyte-scale data marts on BigQuery for analytics and ML workloads. Develop ELT pipelines with Dataflow, Apache Beam and Cloud Composer, ensuring end-to-end observability. Implement partitioning, clustering and columnar compression strategies to reduce query cost and latency. Orchestrate batch and streaming workflows integrating Pub/Sub, Cloud Storage and external databases. Enforce data governance, lineage and security via IAM, DLP and encryption best practices. Partner with product, BI and ML teams to translate business questions into performant SQL and repeatable templates. Skills & Qualifications Must-Have 4+ years data engineering on GCP. Expert SQL and schema design in BigQuery. Proficient Python or Java with Beam SDK. Hands-on building Composer/Airflow DAGs. ETL performance tuning and cost optimization. Git, CI/CD and Terraform proficiency. Preferred Experience with Looker or Data Studio. Familiarity with Kafka or Pub/Sub streaming patterns. Data Quality tooling like Great Expectations. Spark on Dataproc or Vertex AI exposure. Professional Data Engineer certification. BFSI analytics domain knowledge. Benefits & Culture Highlights Modern Bengaluru campus with on-site labs and wellness facilities. Annual GCP certification sponsorship and dedicated learning budget. Performance-linked bonus and accelerated career paths. Skills: vertex ai,data studio,airflow,terraform,ci/cd,spark,beam sdk,bigquery,etl performance tuning,kafka,git,dataproc,data quality tooling,gcp,sql,schema design,java,cost optimization,etl,python,composer,looker,pub/sub

Aramya is a size-inclusive women's ethnic wear brand focused on delivering comfortable & beautiful daily wear at affordable prices. With $9M in funding from Z47, Accel, and marquee angel investors, we’re on a path of rapid expansion. Driven by in-house designing & manufacturing and deep customer insights, we have grown exponentially in the last few quarters, and we are super excited to accelerate this growth further. We’re looking for a data-driven, business-oriented individual to join our team as a Business Analyst . This role is critical to unlocking growth opportunities, optimizing performance, and enabling strategic decision-making across functions. The ideal candidate will possess a strong analytical foundation, business acumen, and a passion for problem-solving. Key Responsibilities: Drive data-led decision-making by analyzing sales, inventory, and customer behavior to improve product, pricing, and store strategies. Build and maintain dashboards and reports that track key retail KPIs, enabling real-time performance visibility. Collaborate cross-functionally with retail, marketing, and supply teams to translate insights into business impact. Support key experiments and expansion bets with deep analysis and sharp thinking. Qualifications & Skills: 2–4 years in business analytics, strategy, or data roles in a fast-paced D2C, e-commerce, or consumer tech environment. Bachelor’s degree in Engineering, Economics, Statistics, Business, or a related discipline from a Tier 1 institution. Strong command of SQL, Excel, and at least one BI tool (Power BI, Tableau, Looker, etc.). Ability to understand core business drivers and translate data into strategic decisions. Strong analytical storytelling and presentation skills to communicate insights effectively. Sharp problem-solving ability with a strong bias for execution.

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Fiche De Poste This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units. This position supports the integration of data from various data sources, as well as performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment. This position performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position participates and contributes to synthesizing disparate data sources to support reusable and reproducible data assets. Responsibilities Supervises and supports data engineering projects and builds solutions by leveraging a strong foundational knowledge in software/application development. He/she is hands on. Develops and delivers data engineering documentation. Gathers requirements, defines the scope, and performs the integration of data for data engineering projects. Recommends analytic reporting products/tools and supports the adoption of emerging technology. Performs data engineering maintenance and support. Provides the implementation strategy and executes backup, recovery, and technology solutions to perform analysis. Performs ETL tool capabilities with the ability to pull data from various sources and perform a load of the transformed data into a database or business intelligence platform. Codes using programming language used for statistical analysis and modeling such as Python/Spark Required Qualifications Literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines. Proficient in developing notebooks in Data bricks using Python and Spark and Spark SQL. Strong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Azure is preferred. Proficient in using Azure Data Factory and other Azure features such as LogicApps. Preferred to have knowledge of Delta lake, Lakehouse and Unity Catalog concepts. Strong understanding of cloud-based data lake systems and data warehousing solutions. Has used AGILE concepts for development, including KANBAN and Scrums Strong understanding of the data interconnections between organizations’ operational and business functions. Strong understanding of the data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility Strong understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, Real-time predictions, insights and customer feedback, data security, data regulations, and compliance. Strong knowledge of algorithms and data structures, as well as data filtering and data optimization. Strong understanding of analytic reporting technologies and environments (e.g., Power BI, Looker, Qlik, etc.) Understanding of distributed systems and the underlying business problem being addressed, as well as guides team members on how their work will assist by performing data analysis and presenting findings to the stakeholders. Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience. Required Skills 3 years of experience with Databricks, Apache Spark, Python, and SQL Preferred Skills DeltaLake Unity Catalog, R, Scala, Azure Logic Apps, Cloud Services Platform (e.g., GCP, or AZURE, or AWS), and AGILE concepts. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units. This position supports the integration of data from various data sources, as well as performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment. This position performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position participates and contributes to synthesizing disparate data sources to support reusable and reproducible data assets. Responsibilities Supervises and supports data engineering projects and builds solutions by leveraging a strong foundational knowledge in software/application development. He/she is hands on. Develops and delivers data engineering documentation. Gathers requirements, defines the scope, and performs the integration of data for data engineering projects. Recommends analytic reporting products/tools and supports the adoption of emerging technology. Performs data engineering maintenance and support. Provides the implementation strategy and executes backup, recovery, and technology solutions to perform analysis. Performs ETL tool capabilities with the ability to pull data from various sources and perform a load of the transformed data into a database or business intelligence platform. Codes using programming language used for statistical analysis and modeling such as Python/Spark Required Qualifications Literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines. Proficient in developing notebooks in Data bricks using Python and Spark and Spark SQL. Strong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Azure is preferred. Proficient in using Azure Data Factory and other Azure features such as LogicApps. Preferred to have knowledge of Delta lake, Lakehouse and Unity Catalog concepts. Strong understanding of cloud-based data lake systems and data warehousing solutions. Has used AGILE concepts for development, including KANBAN and Scrums Strong understanding of the data interconnections between organizations’ operational and business functions. Strong understanding of the data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility Strong understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, Real-time predictions, insights and customer feedback, data security, data regulations, and compliance. Strong knowledge of algorithms and data structures, as well as data filtering and data optimization. Strong understanding of analytic reporting technologies and environments (e.g., Power BI, Looker, Qlik, etc.) Understanding of distributed systems and the underlying business problem being addressed, as well as guides team members on how their work will assist by performing data analysis and presenting findings to the stakeholders. Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience. Required Skills 3 years of experience with Databricks, Apache Spark, Python, and SQL Preferred Skills DeltaLake Unity Catalog, R, Scala, Azure Logic Apps, Cloud Services Platform (e.g., GCP, or AZURE, or AWS), and AGILE concepts. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Job description Job Title: Performance Marketer – Paid Ads & Funnel Optimization Location: Mohali (On-site) Job Type: Full-Time Experience Required: 2–4 years Salary: Based on experience + Performance incentives About the Role We are looking for a Performance Marketer who is highly skilled in running and optimizing paid ad campaigns across Google, Meta, and LinkedIn platforms. The ideal candidate understands the full marketing funnel, can track and attribute leads accurately, and is comfortable with A/B testing, campaign scaling, and budget allocation strategies. Key Responsibilities Plan and execute high-performing ad campaigns across Google Ads, Meta (Facebook/Instagram), and LinkedIn Structure full-funnel strategies (TOFU → MOFU → BOFU) for service-based businesses Manage conversion tracking setup, UTMs, and attribution modeling Analyze data in GA4 to measure funnel drop-offs and optimize accordingly Develop A/B testing strategies for landing pages, creatives, and ad copies Scale campaigns without losing ROAS, manage learning phase resets Forecast and allocate ad budgets strategically across cold, warm, and retargeting audiences Prepare regular campaign performance reports and ROI dashboards Skills & Tools Required Google Ads, Meta Ads Manager, LinkedIn Campaign Manager Google Analytics (Universal & GA4), Tag Manager, Looker Studio Strong knowledge of SKAGs, CBO vs ABO, retargeting structures Experience with heatmaps, session recording, or funnel analysis tools Proficient in UTM tracking, cookie types, and attribution models Comfortable with A/B Testing, ROAS benchmarking, and profitability analysis Tools: SEMrush, SimilarWeb, Meta Creative Hub, SpyFu (or equivalents) What We’re Looking For 2–4 years of proven experience in performance marketing Strong analytical mindset and decision-making ability Up-to-date with the latest platform changes and ad policies Ability to work independently, manage multiple projects, and meet KPIs A keen understanding of customer journeys and funnel behavior Good to Have Experience with SaaS or B2B service campaigns Knowledge of CRM tools and email automation Certification in Google Ads or Meta Blueprint (preferred) How to Apply Submit your resume along with a brief portfolio or screenshots of your best-performing campaigns to hr@martechspacecastle.com or apply directly via Indeed or you can also call/WhatsApp at 9779324113. Job Type: Full-time Pay: ₹45,000.00 - ₹60,000.00 per month Benefits: Paid sick time Schedule: Day shift Monday to Friday Morning shift Supplemental Pay: Performance bonus Education: Bachelor's (Required) Experience: PPC Campaign Management: 3 years (Required) Location: Mohali, Punjab (Required) Work Location: In person

Overview of 66degrees 66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role We are looking for a highly motivated and experienced Data Analytics Engineer to join our team. As a Data Analytics Engineer, you will be responsible for building and implementing robust data analytics solutions using Microsoft Power BI. You will collaborate with cross-functional teams to gather requirements, design scalable architectures, and deliver high-quality solutions that meet business needs. A key aspect of this role involves ensuring data literacy within the organization, empowering users to understand and validate data effectively. Responsibilities Work with Clients to enable them on the Power BI Platform, teaching them how to construct an analytics ecosystem from the ground up. Advise clients on how to develop their analytics centers of excellence, defining and designing processes to promote a scalable, governed analytics ecosystem. Utilize Microsoft Power BI to design and develop interactive and visually appealing dashboards and reports for end-users. Write clean, efficient, and scalable DAX and M code (Power Query). Conduct performance tuning and optimization of data analytics solutions to ensure efficient processing and query performance. Stay up to date with the latest trends and best practices in cloud data analytics, big data technologies, and data visualization tools. Collaborate with other teams to ensure seamless integration of data analytics solutions with existing systems and processes. Provide technical guidance and mentorship to junior team members, sharing knowledge and promoting best practices. Promote data literacy and data validation best practices across teams. Qualifications 3+ years in Power BI for designing interactive dashboards and reports. Previous experience with the Looker Platform is a plus. Experience working with Google BigQuery and the Google Cloud Platform is a plus. Comprehension of Power BI's security capabilities and supporting multiple personas in the platform. Strong problem-solving skills and the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills with the ability to work effectively in a cross-functional team environment. Demonstrated experience in promoting data literacy and enabling users to understand and validate data. An understanding of conversational analytics and experience working with PowerBI Copilot is a plus. Microsoft Power BI certifications are a plus. Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

Job Location: Madurai Job Experience: 4-8 Yrs Model of Work: Work From Office Technologies: Data Analyst Functional Area: Software Development Job Summary: Job Title: Data Analyst - Looker Studio, Business Intelligence (BI) and ThoughtSpot Location: TechMango, Madurai Experience: 5+ Years Employment Type: Full-Time Role Overview We are looking for a highly skilled and analytical Data Analyst with experience in Looker Studio, Business Intelligence (BI) tools, and ThoughtSpot to join our team. You will work closely with stakeholders to translate business needs into actionable dashboards, insights, and reports. Key Responsibilities: Key Responsibilities: Develop, maintain, and optimize dashboards and reports using Looker Studio and ThoughtSpot. Analyze large datasets to identify trends, patterns, and actionable insights. Work collaboratively with business and technical stakeholders to gather and define reporting requirements. Build and maintain BI data models and visualizations to support business KPIs. Perform data validation, quality checks, and ensure reporting accuracy. Translate complex data findings into concise, business-friendly presentations. Support ad hoc analysis and reporting needs for internal teams and client stakeholders. Required Skills 5+ years of experience as a Data Analyst or BI Analyst. Strong hands-on experience with Looker Studio (formerly Data Studio). Proficiency with ThoughtSpot and general BI tools (Power BI, Tableau, etc.). Excellent SQL skills for data extraction and manipulation. Strong data visualization and storytelling skills. Good understanding of relational databases and data warehousing concepts. Strong communication and documentation skills. Good to Have Experience working in Agile or Scrum teams. Familiarity with Google BigQuery or Snowflake. Exposure to predictive analytics or machine learning tools (e.g., Python, R) is a plus.

Summary We are seeking a highly skilled and motivated GCP Data Engineering Manager to join our dynamic team. As a Data Engineering manager specializing in Google Cloud Platform (GCP), you will play a crucial role in designing, implementing, and maintaining scalable data pipelines and systems. You will leverage your expertise in Google Big Query, SQL, Python, and analytical skills to drive data-driven decision-making processes and support various business functions. About The Role Key Responsibilities: Data Pipeline Development: Design, develop, and maintain robust data pipelines using GCP services like Dataflow, Dataproc, ensuring high performance and scalability. Google Big Query Expertise: Utilize your hands-on experience with Google Big Query to manage and optimize data storage, retrieval, and processing. SQL Proficiency: Write and optimize complex SQL queries to transform and analyze large datasets, ensuring data accuracy and integrity. Python Programming: Develop and maintain Python scripts for data processing, automation, and integration with other systems and tools. Data Integration: Collaborate with data analysts, and other stakeholders to integrate data from various sources, ensuring seamless data flow and consistency. Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to maintain high data standards. Performance Tuning: Monitor and optimize the performance of data pipelines, queries, and storage solutions to ensure efficient data processing. Documentation: Create comprehensive documentation for data pipelines, processes, and best practices to facilitate knowledge sharing and team collaboration. Minimum Qualifications Proven experience (minimum 6 – 8 yrs) in Data Engineer, with significant hands-on experience in Google Cloud Platform (GCP) and Google Big Query. Proficiency in SQL for data transformation, analysis and performance optimization. Strong programming skills in Python, with experience in developing data processing scripts and automation. Proven analytical skills with the ability to interpret complex data and provide actionable insights. Excellent problem-solving abilities and attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team enviro Desired Skills Experience with Google Analytics data and understanding of digital marketing data. Familiarity with other GCP services such as Cloud Storage, Dataflow, Pub/Sub, and Dataproc. Knowledge of data visualization tools such as Looker, Tableau, or Data Studio. Experience with machine learning frameworks and libraries. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Application Development Analyst Position Overview As an Application Development Analyst, you will be part of a team of analysts and engineers-on code triage and analysis, and quick fixes for issues impacting the Evernorth applications. The focus of the work is to identify and rectify any technical and functional challenges in Evernorth’s market-winning capabilities in the technology solutions space. Responsibilities Be a team contributor in a team of Engineers and Analysts in triaging technical and functional issues. Day to day ticket triage, monitoring of the ticket’s queues. Monitor OL comment trends. Regression Checkouts adhoc and planned. Create, co-ordinate and track resolution of stories required for fixing tickets. Data mining for checkouts Monitoring Jobs and reacting to job issues Release checkout pocs Ad hoc data research On call Business Analytics Advisor Position Overview The job profile for this position is Business Analytics Advisor, which is a Band 4 Contributor Career Track Role. The Cigna Enterprise Operations Analytics organization offers solutions that provide actionable insights to internal and external business partners and customers that help improve customer experience, reduce cost, measure and forecast business performance, and improve process and procedures. The Business Analytics Advisor will be responsible for creating a detailed business analysis, outlining problems, opportunities and solutions for their respective client group. The candidate should have proficiency with assembling the data to tell a story and present the findings in a creative and insightful way to top leadership / management. This candidate will have the ability to provide thought leadership and technical expertise cross multiple disciplines. Responsibilities Reporting on productivity and project progress and ensuring that they are compliant with quality standards. Using Databricks and SQL for reporting and analytics, to write queries to answer questions and perform ETL tasks to create datasets. Maintaining both internal and external channels of communication. Utilizing Python libraries (scikit-learn, pandas, numpy) to conduct statistical analyses. Gathering details regarding the business of the operations area by using a variety of methods (shadowing interviews, shadowing, surveys or reading reports, etc.). Performing statistical tests such as k-means, OLS and MLS regressions, and logistic regressions. Working with stakeholders to scope and plan projects and analysis topics. Providing findings and data driven recommendations to leadership. Writing tests and logging for data pipelines and automation. Qualifications Required Experience & Education: 11 – 13 years of relevant analytics experience Desired Experience: Experience as a Business Analytics Advisor is a plus. Expertise in health insurance contact center operations. Experience with Business Intelligence Software (Tableau, Power BI, Looker, etc.). Additional Skills: Excellent verbal, written and interpersonal communication skills a must. Problem-solving, consulting skills, teamwork, leadership, and creativity skills a must. Analytical mind with outstanding ability to collect and analyze data. Action Oriented Business Insight Instills Trust Manages Complexity Nimble Learning Persuades Plans and Aligns Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Experience : 6.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: CRM platforms, landing page testing, Google Ads, Meta Ads, Digital Strategy, digital consulting, Client Management, performance marketing strategy Uplers is Looking for: We're looking for a highly experienced Performance Marketing Strategist who has a proven track record of delivering growth across global eCommerce, B2B, and B2C brands. You’ll work closely with international clients and internal stakeholders to design, execute, and scale high-performing digital campaigns. Your strategic thinking, hands-on expertise, and ability to turn insights into actions will be key in driving ROI and business success. Key Responsibilities: Own end-to-end strategy, execution, and optimization of performance marketing campaigns across Google Ads, Meta Ads, and more. Manage budgets ranging from high-scale media spends to lean campaign allocations with equal efficiency. Collaborate with global clients for campaign planning, goal-setting, and performance analysis. Build and maintain dashboards using Looker Studio, Supermetrics, and GA4 for real-time reporting and insights. Identify growth opportunities and recommend automation workflows (Zapier, scripts, etc.) to improve campaign efficiency. Lead performance audits, conversion tracking setups, and cross-channel attribution modeling. Stay ahead of platform changes, industry trends, and AI-driven tools for continuous performance enhancement. Requirements: 6+ years of hands-on experience in Performance/Digital Marketing (agency or brand side). Proven track record of managing global and international campaigns (e.g., US, UK, Australia, MEA). Strong command over Google Ads (Search, Display, Shopping, Performance Max). In-depth knowledge of Meta Ads (Facebook, Instagram) – structure, testing, and scaling. Proficient in Looker Studio, Supermetrics, and Google Analytics 4. Experience using Zapier or similar tools for automation and workflow setup. Advanced Excel/Google Sheets for reporting, data analysis, and pivoting insights. Strong analytical mindset with problem-solving, critical thinking, and optimization skills. Excellent verbal and written communication skills in English – client-facing experience is a must. Nice-to-Have: Experience in managing campaigns for D2C/eCommerce, SaaS, and B2B businesses. Familiarity with conversion rate optimization (CRO), landing page testing, and remarketing. Exposure to CRM platforms and email marketing automation tools. Worked with or within global agencies or multi-market clients. Why Join Us? Opportunity to work with international clients and data-driven marketing leaders. Flexible working options (remote/in-house) and a collaborative team environment. Exposure to advanced tools, automation platforms, and AI-driven campaign strategies. If you're passionate about driving growth, solving performance problems, and crafting data-backed strategies — we’d love to meet you. Note: The candidate will be expected to work in any shift starting between 4:00 PM and 8:30 PM, based on business requirements and team priorities. Flexibility in working hours is essential to ensure alignment with client and project demands. 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 : AUD 2222 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Australia's Leading Ecommerce Marketing Agency) What do you need for this opportunity? Must have skills required: AI for reporting or automation, Automated Bidding Strategies, Google Ads Editor, Looker Studio, Ecommerce, Google Ads, Pmax, Shopping Ads, Video Ads, Google Display Ads, Google Shopping Ads, Search Ads Australia's Leading Ecommerce Marketing Agency is Looking for: Key Responsibilities: Campaign Strategy & Management - Plan, build, manage, and optimise high-performing Google Ads campaigns across Performance Max, Shopping, Search, Video, and Display. This includes keyword research, compelling ad copy development, bidding strategy implementation, and ongoing performance optimisation tailored to each client’s goals. Shopping Feed & Product Data Optimisation - Set up, manage, and continuously optimise Google Shopping feeds to improve product visibility and performance. Ensure feed health, troubleshoot issues, and apply best practices in product data structuring for maximum campaign effectiveness. Conversion Tracking & Performance Measurement - Implement and maintain accurate conversion tracking frameworks to measure performance across all campaign types. Analyse key metrics to surface actionable insights and inform optimisation strategies. Video & Display Campaign Execution - Design, launch, and refine video and display campaigns on YouTube and the Google Display Network. Leverage creative assets, audience targeting, and performance data to drive awareness, engagement, and conversions. Performance Max Strategy & Execution - Leverage up-to-date knowledge of Performance Max campaigns, using best practices in asset grouping, audience signals, and budget allocation to ensure full-funnel impact and cross-channel performance. Testing & Continuous Optimisation - Conduct A/B tests across ad copy, creative, landing pages, and targeting parameters. Identify improvement opportunities and implement optimisations that elevate key performance indicators (KPIs) across all campaign types. Analytics, Reporting & Insights - Use tools such as Google Analytics and Looker Studio to monitor performance and deliver clear, insightful reports. Provide strategic recommendations based on data trends and communicate findings to both internal teams and clients. Ad Copy & Creative Analysis - Review, refine, and author ad copy to ensure alignment with client brand guidelines, tone, and campaign objectives before implementation. Collaborate with internal stakeholders and account leads to maintain consistency and uphold copy approval workflows. Conduct ongoing creative analysis across image, video, and text assets within Google Ads campaigns to identify gaps, fatigue, or underperformance. Leverage platform insights and testing data to provide actionable creative recommendations that enhance engagement, improve CTRs, and support full-funnel performance across Search, Display, and Performance Max campaigns. Collaboration & Communication - Build strong, proactive relationships with clients by understanding their business objectives and translating them into effective paid media strategies. Provide clear, confident communication across meetings, reports, and updates—ensuring clients feel supported, informed, and understood. Collaborate closely with internal team members, contributing to a positive, solutions-focused team environment. An outgoing personality, paired with strong interpersonal skills, is essential for engaging stakeholders, presenting ideas effectively, and navigating fast-paced agency dynamics. Maintain a high standard of responsiveness, professionalism, and ownership in all client interactions. Industry Knowledge & Innovation - Stay informed on the latest Google Ads features, algorithm changes, and eCommerce trends. Apply learnings to improve campaign outcomes and maintain our competitive edge in paid media strategy. Candidate Requirements: Experience & Background 3–5 years of experience managing Google Ads campaigns across Performance Max (PMax), Shopping, Search, Display, and Video (Demand Gen), ideally within an agency environment. Proven agency experience managing eCommerce product brands, including at least one Google Ads budget of AUD $10,000/month or greater within the past 12 months. Demonstrated success managing 8–11 brands concurrently, with a strong emphasis on performance marketing and ongoing campaign optimisation across a range of industries Campaign & Channel Expertise In-depth knowledge of Google Ads platform mechanics, including campaign creation, optimisation, and performance tracking across all major campaign types: PMax, Search, Shopping, Display, and Video. Hands-on experience managing and optimising eCommerce-focused PMax campaigns within the last 12 months is essential. Proficient in keyword research, audience targeting, and creative testing processes to support scaling strategies and drive ROAS. Familiarity with automated bidding strategies (e.g., Target ROAS, Maximise Conversions, Maximise Conversion Value) and understanding when to deploy each based on performance goals, data volume, and campaign maturity. eCommerce Performance Marketing Proficiency Proven ability to optimise for key eCommerce metrics such as conversions, average order value (AOV), and marketing efficiency ratio (MER). Experience incorporating conversion tracking, Google Merchant Center, and Search Console into the ad ecosystem. Familiarity with tools such as Google Ads Editor, Looker Studio, scripts, and AI-driven enhancements for reporting or automation. Analytical & Technical Skills Strong analytical mindset with the ability to interpret performance data and extract actionable insights. Proficient with Google Analytics or similar analytics platforms. Experience leveraging data and technology to improve campaign outcomes. Soft Skills & Professional Attributes Excellent communication and presentation skills, with the ability to explain complex concepts clearly to both technical and non-technical stakeholders. Strong attention to detail, proactive problem-solving, and the ability to work autonomously within deadlines. Demonstrated personal qualities of honesty, humility, accountability, initiative, and timeliness. The ability to both take direction and feedback from seniors whilst innovating and providing recommendations based on experience and/or data Certifications Core Google Ads certifications 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!

You will be responsible for executing a comprehensive SEO strategy with measurable goals, including traffic growth, keyword ranking improvements, and conversion optimization. Responsibilities 1.⁠ ⁠Technical & On-Page SEO Conduct full technical SEO audits (site speed, mobile optimization, indexing, crawlability) Optimize meta tags, headings, alt attributes, URLs, and internal linking structures Improve Core Web Vitals using tools like PageSpeed Insights and GTmetrix Manage XML sitemap, robots.txt, and structured data (schema.org for products, reviews, FAQ, etc.) 2.⁠ ⁠Content Optimization Work with copywriters to ensure SEO-friendly product pages and informational content Conduct keyword research and gap analysis Create content briefs for blog articles and web pages based on long-tail keyword strategy Ensure all content aligns with brand tone and SEO best practices 3.⁠ ⁠Off-Page SEO & Link Building Build quality backlinks through outreach, directories, and partnerships (no PBNs or spam) Identify relevant backlink opportunities in fashion, lifestyle, and ethical product sectors Monitor backlinks and perform toxic link cleanups when necessary 4.⁠ ⁠Analytics & Reporting Set up and manage Google Analytics (GA4) and Google Search Console Track keyword rankings, organic traffic, bounce rate, CTR, and conversions Deliver monthly SEO performance reports using Looker Studio, Excel, or similar tools Requirements 2 to 4 years of proven SEO experience (technical, content, and link building) Hands-on experience with SEO tools such as Semrush, Ahrefs, Screaming Frog, Ubersuggest Comfortable using GA4 and Google Search Console for reporting and analysis Experience optimizing Shopify or other e-commerce platforms is preferred Ability to work independently, meet deadlines, and maintain quality across tasks Excellent communication skills and attention to detail Nice to Have (Optional) Experience working with international clients Understanding of European search intent and market Ability to collaborate with content teams in other languages

The purpose of this role is to understand, model and facilitate change in a significant area of the business and technology portfolio either by line of business, geography or specific architecture domain whilst building the overall Architecture capability and knowledge base of the company. Job Description: Role Overview : We are seeking a highly skilled and motivated Cloud Data Engineering Manager to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. The GCP Data Engineering Manager will design, implement, and maintain scalable, reliable, and efficient data solutions on Google Cloud Platform (GCP). The role focuses on enabling data-driven decision-making by developing ETL/ELT pipelines, managing large-scale datasets, and optimizing data workflows. The ideal candidate is a proactive problem-solver with strong technical expertise in GCP, a passion for data engineering, and a commitment to delivering high-quality solutions aligned with business needs. Key Responsibilities : Data Engineering & Development : Design, build, and maintain scalable ETL/ELT pipelines for ingesting, processing, and transforming structured and unstructured data. Implement enterprise-level data solutions using GCP services such as BigQuery, Dataform, Cloud Storage, Dataflow, Cloud Functions, Cloud Pub/Sub, and Cloud Composer. Develop and optimize data architectures that support real-time and batch data processing. Build, optimize, and maintain CI/CD pipelines using tools like Jenkins, GitLab, or Google Cloud Build. Automate testing, integration, and deployment processes to ensure fast and reliable software delivery. Cloud Infrastructure Management : Manage and deploy GCP infrastructure components to enable seamless data workflows. Ensure data solutions are robust, scalable, and cost-effective, leveraging GCP best practices. Infrastructure Automation and Management: Design, deploy, and maintain scalable and secure infrastructure on GCP. Implement Infrastructure as Code (IaC) using tools like Terraform. Manage Kubernetes clusters (GKE) for containerized workloads. Collaboration and Stakeholder Engagement : Work closely with cross-functional teams, including data analysts, data scientists, DevOps, and business stakeholders, to deliver data projects aligned with business goals. Translate business requirements into scalable, technical solutions while collaborating with team members to ensure successful implementation. Quality Assurance & Optimization : Implement best practices for data governance, security, and privacy, ensuring compliance with organizational policies and regulations. Conduct thorough quality assurance, including testing and validation, to ensure the accuracy and reliability of data pipelines. Monitor and optimize pipeline performance to meet SLAs and minimize operational costs. Qualifications and Certifications : Education: Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field. Experience: Minimum of 7 to 9 years of experience in data engineering, with at least 4 years working on GCP cloud platforms. Proven experience designing and implementing data workflows using GCP services like BigQuery, Dataform Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer. Certifications: Google Cloud Professional Data Engineer certification preferred. Key Skills : Mandatory Skills: Advanced proficiency in Python for data pipelines and automation. Strong SQL skills for querying, transforming, and analyzing large datasets. Strong hands-on experience with GCP services, including Cloud Storage, Dataflow, Cloud Pub/Sub, Cloud SQL, BigQuery, Dataform, Compute Engine and Kubernetes Engine (GKE). Hands-on experience with CI/CD tools such as Jenkins, GitHub or Bitbucket. Proficiency in Docker, Kubernetes, Terraform or Ansible for containerization, orchestration, and infrastructure as code (IaC) Familiarity with workflow orchestration tools like Apache Airflow or Cloud Composer Strong understanding of Agile/Scrum methodologies Nice-to-Have Skills: Experience with other cloud platforms like AWS or Azure. Knowledge of data visualization tools (e.g., Power BI, Looker, Tableau). Understanding of machine learning workflows and their integration with data pipelines. Soft Skills : Strong problem-solving and critical-thinking abilities. Excellent communication skills to collaborate with technical and non-technical stakeholders. Proactive attitude towards innovation and learning. Ability to work independently and as part of a collaborative team. Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent

Job description Job Title: Performance Marketer – Paid Ads & Funnel Optimization Location: Mohali (On-site) Job Type: Full-Time Experience Required: 2–4 years Salary: Based on experience + Performance incentives About the Role We are looking for a Performance Marketer who is highly skilled in running and optimizing paid ad campaigns across Google, Meta, and LinkedIn platforms. The ideal candidate understands the full marketing funnel, can track and attribute leads accurately, and is comfortable with A/B testing, campaign scaling, and budget allocation strategies. Key Responsibilities Plan and execute high-performing ad campaigns across Google Ads, Meta (Facebook/Instagram), and LinkedIn Structure full-funnel strategies (TOFU → MOFU → BOFU) for service-based businesses Manage conversion tracking setup, UTMs, and attribution modeling Analyze data in GA4 to measure funnel drop-offs and optimize accordingly Develop A/B testing strategies for landing pages, creatives, and ad copies Scale campaigns without losing ROAS, manage learning phase resets Forecast and allocate ad budgets strategically across cold, warm, and retargeting audiences Prepare regular campaign performance reports and ROI dashboards Skills & Tools Required Google Ads, Meta Ads Manager, LinkedIn Campaign Manager Google Analytics (Universal & GA4), Tag Manager, Looker Studio Strong knowledge of SKAGs, CBO vs ABO, retargeting structures Experience with heatmaps, session recording, or funnel analysis tools Proficient in UTM tracking, cookie types, and attribution models Comfortable with A/B Testing, ROAS benchmarking, and profitability analysis Tools: SEMrush, SimilarWeb, Meta Creative Hub, SpyFu (or equivalents) What We’re Looking For 2–4 years of proven experience in performance marketing Strong analytical mindset and decision-making ability Up-to-date with the latest platform changes and ad policies Ability to work independently, manage multiple projects, and meet KPIs A keen understanding of customer journeys and funnel behavior Good to Have Experience with SaaS or B2B service campaigns Knowledge of CRM tools and email automation Certification in Google Ads or Meta Blueprint (preferred) How to Apply Submit your resume along with a brief portfolio or screenshots of your best-performing campaigns to hr@martechspacecastle.com or apply directly via Indeed or you can also call/WhatsApp at 9779324113. Job Type: Full-time Pay: ₹45,000.00 - ₹60,000.00 per month Benefits: Paid sick time Schedule: Day shift Monday to Friday Morning shift Supplemental Pay: Performance bonus Education: Bachelor's (Required) Experience: PPC Campaign Management: 3 years (Required) Location: Mohali, Punjab (Required) Work Location: In person

About Us Company Description Tatvic, is a marketing analytics company focusing on generating insights from data using long association with Google & its infrastructure. We breed, recognize and reward performance. As a company we are growing very fast & we are under transformation. To enable this transformation we need future leaders with eyesight which balances execution & strategic understanding. Website: www.tatvic.com Mission: To provide analytics consultation by bridging the gap between business objectives and data metrics. The role involves proactively identifying opportunities and risks and delivering actionable insights to drive business outcomes. Accountabilities Role Overview: Lead client relationships by managing expectations through comprehensive requirement gathering and timely deliverables. Support the client team with ongoing analytics needs and system maintenance. Develop and drive digital analytics strategies aligned with industry-specific KPIs. Leverage data to inform and optimize business processes and growth strategies. Monitor and interpret KPIs to identify performance improvements. Design, build, and maintain dashboards and visualizations for stakeholders. Conduct statistical analysis and modeling to derive trends and growth opportunities. Contribute to ad-hoc business analyses and strategic initiatives. Collaborate cross-functionally to align analytics with business requirements. Role Responsibilities Translate business needs into analytics strategies and execution plans. Use tools like GA/GA4, Looker Studio, Tableau, and Power BI for reporting and dashboarding. Employ SQL and statistical techniques to analyze digital data. Ensure deliverable quality through SLA adherence and client-ready reporting. Engage in storytelling with data to make insights accessible and actionable. Maintain high task efficiency and delivery utilization metrics. Skills Required Must-have Tech Skills: Google Analytics / GA4 Looker Studio, Power BI, Tableau SQL (Intermediate to Advanced) Strong logical thinking and analytical problem-solving Dashboarding and reporting tools Excellent communication and documentation skills Good-to-have Tech Skills Knowledge of GTM, BigQuery, Google Ads, Optimize, DV360 Statistical Analysis Business acumen and consulting experience Understanding of SLA metrics and delivery quality

I’m helping Tmrrw Inc. find a top candidate to join their team flexible for the role of Digital Advertising & Analytics Specialist . You'll drive measurable impact through data-led campaign strategy for purpose-driven organizations Compensation: USD 9/hour Location: Remote (anywhere) Mission of Tmrrw Inc.: "Our mission is to empower non-profits and public sector organizations through innovative, sustainable solutions rooted in empathy, integrity, and inclusivity. We collaborate closely with our partners and communities, drawing on diverse perspectives and creative thinking to drive meaningful, lasting change. By upholding the highest ethical standards and embracing compassionate action, we aim to build a more equitable and resilient future for all." What makes you a strong candidate: You are proficient in UTM parameters, Retargeting, Looker Studio, Google Tag Manager, GA4 (Google Analytics 4). You have +2 years experience in Media buying, Digital advertising. English - Fully fluent Responsibilities and more: We’re looking for a results-driven Digital Advertising & Analytics Specialist to manage the full lifecycle of our digital ad campaigns—from setup to optimization to reporting. This role is ideal for someone who understands the importance of clean data, knows how to track and measure ROI, and is equally comfortable launching ad campaigns and configuring backend tracking systems. You’ll be responsible for building, managing, and optimizing digital ad campaigns across multiple channels, including Facebook/Meta, Instagram, Google Ads, and others—while also ensuring everything is accurately tracked in platforms like Google Analytics, Tag Manager, and custom dashboards. You’ll set up UTM parameters, conversion events, pixels, and more to ensure every dollar spent is measurable and effective. Key responsibilities: * Plan, execute, and optimize paid media campaigns across platforms (Facebook, Google, LinkedIn, etc.), including budget management, bidding strategies, targeting, and creative testing. * Set up and manage conversion tracking using Google Tag Manager, GA4, Meta Pixel, and other tools. Implement UTM structures and consistent naming conventions for campaign tracking and attribution. Configure event tracking and goals in GA4 and other analytics tools. * Build and maintain custom dashboards (e.g., in Looker Studio / Google Data Studio). Analyze ad performance and provide actionable insights to improve ROI. Report weekly/monthly on KPIs such as conversions, CAC, ROAS, and LTV. * Conduct A/B testing across creatives, audiences, and landing pages, and continuously optimize based on performance data. * Collaborate with creative, content, and marketing teams to align messaging and campaign goals. Coordinate with developers or use no-code tools to ensure proper implementation of tracking tools. Required skills & qualifications: * 2–5 years of hands-on experience in paid media buying and analytics. * Strong knowledge of GA4, Google Tag Manager, and Meta/Facebook Ads Manager. * Experience setting up and maintaining pixels, custom events, and conversion tracking. * Proficiency in UTM parameters, multi-touch attribution, and data hygiene. * Expertise in campaign targeting, lookalike and custom audiences, and remarketing. * Advanced skills in building dashboards using Looker Studio / Data Studio. * Strong analytical abilities with the capacity to interpret and act on complex data sets. * Excellent communication and documentation skills. * Ability to work independently and manage multiple cross-channel campaigns. Nice-to-have skills: * Experience with tools like Zapier, Segment, or other integration platforms. * Familiarity with server-side tagging or offline conversion tracking. * Understanding of landing page conversion optimization. * Experience managing YouTube or LinkedIn Ads. * Familiarity with CRM systems and lead attribution (e.g., HubSpot, HighLevel, Salesforce).

💼 We’re Hiring: Hybrid Digital Marketing Specialists for Global Maps Optimization Project (3 Roles Open) 📍 Hybrid | Immediate Start 👥 Roles: 3 Positions (See Below) ⸻ We’re hiring a hybrid support team for a high-impact, multi-platform Digital Location Management Optimization project for 370+ branches across Oman and sub-brands. You will be part of a core digital team led by an experienced Project Manager. This is a rare opportunity to work on a project that spans Google Maps, Apple Maps, Bing, Waze, Siri, Careem, Uber, and more. ⸻ 📌 OPEN ROLES 1️⃣ Digital Listings Specialist (Full-ti m e)🔹 Claim and verify listings on Google Maps, Apple Maps, Bing, HERE, Waze, Petal, etc.🔹 Optimize business info (name, hours, payment methods, services, categor ies)🔹 Track verification progress and work with our PM on completion milest ones🔹 Tools: Google Business Profile Manager, Apple Maps Connect, Excel/Google Sh eets✅ Experience Required: 1+ year working with GBP or local SEO listi n g s ⸻2️⃣ Content & Review Executive (Par t-t ime)🔹 Upload high-quality store and brand visuals across listings🔹 Monitor and respond to customer reviews using t emplates🔹 Maintain FAQ/Q&A sections on Google and Facebook🔹 Generate basic monthly sentiment analysis✅ Experience Required: Strong writing skills, customer review handling, image tools (Canva pre fe r r ed)⸻3️⃣ Reporting & Tech Support Analyst (Part-time / free lance)🔹 Build monthly dashboards in Looker Studio (Google Data Studio)🔹 Automate reporting for clicks, calls, and reviews🔹 Set up WhatsApp links and click-to- call buttons✅ Experience Required: Dashboard creation, Google Business Insights, Sheets/Excel, Zapier/API ba si cs a plus⸻✅ Who S hould Apply: • Freelancers or specialists with experience in local SEO, maps optimization, or multi-locatio n management • Individuals who have handled Google Business Profile lis tings before • Those who are detail-oriented, organized, and reliable with remo te deadlines • Ability to communicate clearly and collaborate in a stru ct ure d team⸻📩 Ho w to Apply:Please send your CV + brief portfolio or sam ple work to:📧 pm@t echfinit.com(Or apply via DM/comment on this post)

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. You will play a crucial role in organizing & maintaining proprietary datasets and transforming data into insights & visualizations that drive strategic decisions for our clients and the firm. You’ll work closely with the industry leader & a number of cross-functional retail & consumer advisory, tax and assurance professional teams to develop high-impact, commercially relevant insights to infuse into thought leadership, external media engagement, demand generation, client pursuits, & delivery enablement. Knowledge and Skills Preferred (Note: One section but can be separate paragraphs): Demonstrates in- depth level abilities and/or a proven record of success managing efforts with identifying and addressing client needs: As a critical member of a team of Retail and Consumer data scientists, maintain and analyze large, complex datasets to uncover insights that inform topics such as consumer sentiment, future business trends/challenges, insights around cyclical consumer related events (eg holidays, back to school, Super Bowl, etc), business strategy, pricing, promotions, customer segmentation, and supply chain optimization; Support in the identification of new, cutting-edge datasets that add to the firm's differentiation amongst competitors and clients; Support in building predictive models and data-led tools; Design and conduct experiments (A/B testing, market basket analysis, etc.) to measure the effectiveness of new approaches and drive continuous improvement; Partner with US team to translate analytical findings into actionable recommendations and compelling stories; Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making; Stay up to date and ahead of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape; Experience managing high performing data science and commercial analytics teams; Strong SQL and Alteryx skills and proficiency in Python and/or R for data manipulation and modeling; Experience applying machine learning or statistical techniques to real-world business problems; Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size, etc.); Proven ability to explain complex data concepts to non-technical stakeholders; Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc; Knowledge of geospatial or time-series analysis in a retail setting; and, Prior work with pricing optimization, inventory forecasting, or omnichannel analytics.

Job Role: Marketing Analyst You should apply if you have: Have a demonstrable track record of bringing positive impact in your previous organizations. Experience with advanced analytics tools or statistical programming (e.g., Python, R). Familiarity with digital marketing platforms like Facebook Ads, Google Ads, LinkedIn Ads, and email marketing tools. Knowledge of business intelligence tools (e.g., Power BI, Google Data Studio, SQL, Excel). You should not apply if you: Can’t work in ambiguity. Can’t work with complex & large data sets Can’t spot trends, anomalies, and areas for improvement. Prefer to work in silo as an individual contributor. Are not passionate about the health and nutrition industry. Have less than ~ 3 years of hands-on experience in Analysis & reporting Skills Required: High Proficiency in Excel, Google Sheets, SQL, Python, report automations and database management. Experience with data visualization tools like PowerBi, Looker studio, Tableau. Basic understanding of Google Ads, Microsoft Ads, Facebook Ads, and or other ad networks. To pull data with the help of their APIs, automated reports Proven ability to work with large datasets and analyze complex data. Strong understanding of statistical analysis and modelling techniques. Ability to translate data insights into actionable recommendations. Strong attention to details and accuracy. Strong verbal & written communication skills for reporting and presenting findings to stakeholders. What will you do? Collect, analyze, and interpret data from different sources (large datasets, sheets, ads manager etc) related to consumer behavior, sales trends, and market performance. Ensuring Data quality & resolving discrepancies and errors. Analyze data to identify patterns, trends, and insights for decision making Create & maintain reports, dashboards to track key performance indicators(KPIs) Use tools and software to analyze and visualize data Present reports to stakeholders and decision makers clearly and concisely Implement strategies to increase reporting efficiency & effectiveness Ability to think critically & recommend adjustments to campaigns or strategies based on data insights. Create regular reports on campaign performance, customer acquisition, LTV, retention, and overall marketing ROI. Assist in forecasting future marketing trends, customer behaviors, and budgeting needs based on historical data. Work Experience: 3-5 years Working days: Monday - Friday Location: Golf Course Ext Road, Gurugram, Haryana (Work from Office) Perks: High learning and personal growth opportunities in a dynamic environment. Flexible timings and a collaborative, inclusive workplace. Why Nutrabay: We believe in an open, intellectually honest culture where everyone is given the autonomy to contribute and do their life’s best work. As a part of the dynamic team at Nutrabay, you will have a chance to learn new things, solve new problems, build your competence and be a part of an innovative marketing-and-tech startup that’s revolutionising the health industry. Working with Nutrabay can be fun, and a place of a unique growth opportunity. Here you will learn how to maximise the potential of your available resources. You will get the opportunity to do work that helps you master a variety of transferable skills, or skills that are relevant across roles and departments. You will be feeling appreciated and valued for the work you delivered. We are creating a unique company culture that embodies respect and honesty that will create more loyal employees than a company that simply shells out cash. We trust our employees and their voice and ask for their opinions on important business issues. About Nutrabay Nutrabay is the largest health & nutrition store in India. Our vision is to keep growing, having a sustainable business model and continue to be the market leader in this segment by launching many innovative products. We are proud to have served over 1 million customers uptill now and our family is constantly growing. We have built a complex and high converting eCommerce system and our monthly traffic has grown to a million. We are looking to build a visionary and agile team to help fuel our growth and contribute towards further advancing the continuously evolving product. Funding We raised $5 Million in a Series A funding round led by RPSG Capital Ventures, with participation from Kotak Alternate Asset Managers

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Project / Program Management Consultant Location: Chennai Work Type: Hybrid Position Description: This analyst role provides critical administrative activities and supports the use of key program tools, ensuring program standards are upheld to facilitate the effective operation and governance of the Transformation Program. Description The Governance Analyst position is a key support role within the Transformation Program, focusing on administrative, governance, and reporting functions. This individual will be responsible for maintaining program structures, managing communication channels, coordinating program meetings, and administering program tools, with a particular emphasis on supporting program reporting, data collection, analysis, and visualization to provide insights into program status, risks, issues, and dependencies for various stakeholders. The analyst will also contribute to process improvement and support program-level cadences and events like Program Increment (PI) planning. Skills Required: Project Management Skills Preferred: Power BI, Scrum (Software Development), Agile Software Development, Jira, Microsoft Word, Microsoft Excel, Microsoft PowerPoint Experience Required: Tools & Skills Good hands-on experience working in JIRA, Confluence, MS Project, Sharepoint Proficiency in MS Excel and PowerPoint Should have good knowledge in creating Dashboards/reports using Power BI, JIRA Knowledge in GCP-Looker reporting tool will be an added advantage. Qualifications Bachelor's degree or equivalent experience in a relevant discipline 6 years of experience in program or project administration and support Experience with formal change control, risk, and issue management Strong organizational, interpersonal, and influencing capabilities Ability to collect and analyze feedback to improve program processes and administration Basic knowledge of Agile, Scrum, SAFe (Scaled Agile) Strong written and verbal communication skills with the ability to present findings to various stakeholders Education Preferred: Additional Safety Training/Licensing/Personal Protection Requirements Additional Information : Good hands-on experience working in JIRA, Confluence, MS Project, Sharepoint Proficiency in MS Excel and PowerPoint • Should have good knowledge in creating Dashboards/reports using Power BI, JIRA Knowledge in GCP-Looker reporting tool will be an added advantage. TekWissen® Group is an equal opportunity employer supporting workforce diversity.

We are seeking a talented and passionate Google Cloud Looker Developer to join our growing data team. You will play a crucial role in empowering data-driven decision-making across the organization by designing, building, and maintaining insightful and interactive dashboards and reports using Looker. You'll work closely with stakeholders to understand their needs, translate them into effective data visualizations, and ensure the performance and scalability of our Looker environment. Responsibilities  Develop and Maintain LookML: Create and maintain robust, well- documented LookML models to support diverse business requirements.  Design & Build Dashboards: Design, build, and deploy interactive and visually appealing dashboards and reports in Looker that effectively communicate key insights.  Collaborate with Stakeholders: Partner with business users and analysts to gather requirements, understand their needs, and translate them into technical specifications.  Optimize Performance: Optimize Looker performance, including LookML models and data models, for scalability, efficiency, and a great user experience.  Data Visualization Best Practices: Implement data visualization best practices to ensure clear and effective communication of data insights.  Define & Track Metrics: Work with stakeholders to define and track key performance indicators (KPIs) and build visualizations to monitor them.  Troubleshoot & Resolve: Diagnose and resolve Looker-related issues, ensuring high availability and reliability of the platform.  Stay Current: Stay up-to-date with the latest Looker and Google Cloud Platform (GCP) features, best practices, and advancements. Qualifications Must-Haves (Absolutely Required):  LookML Expertise: Strong proficiency in LookML development, including explores, views, dimensions, measures, and derived tables. Must be able to write clean, efficient, and reusable LookML. Having a Looker certification is a plus.  Advanced SQL: Excellent SQL skills for data querying, manipulation, and analysis. Must be comfortable with complex queries and data transformations.  Data Warehousing Knowledge: In-depth understanding of data warehousing concepts (star schemas, snowflake schemas, etc.) and data modeling techniques.  Data Visualization Skills: Proven experience creating clear, insightful, and user-friendly data visualizations. Experience with Looker's visualization options is essential.  Requirements Gathering: Ability to translate business requirements into technical solutions, working effectively with both technical and non-technical stakeholders.  Problem-Solving: Excellent problem-solving and analytical skills, with a strong attention to detail.  Communication & Collaboration: Strong written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams. Education: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. Benefits:  Competitive salary and benefits package  Opportunities for professional growth and development  Work on challenging and impactful projects  A collaborative and supportive work environment

About The Role Seamless payments are crucial to the exceptional experiences Uber provides for its users, drivers, couriers, and restaurant partners. The Core Payments team works cross-functionally to ensure smooth financial interactions throughout the Uber ecosystem. It operates with Uber's characteristic agility and scale, focusing on optimizing transaction success rates and costs. We are seeking a detail-oriented and analytical Senior Payments Analyst to join our team. This role is central to understanding and optimizing the cost of payments by analyzing payment processing fees, reconciling invoices, and driving cost-efficiency initiatives. The ideal candidate will have strong SQL skills, experience working with financial/payment data, and a deep affinity for numbers-with the ability to connect data points to uncover insights and influence cost-related decisions. If you enjoy working with data to solve real-world financial problems, this role offers a high-impact opportunity in a dynamic, cross-functional environment. What The Candidate Will Do Analyze Payment Costs: Write and optimize SQL queries to extract and analyze data related to payment transactions, fee structures, and processor charges. Invoice Reconciliation: Match actual payment fees with processor invoices to ensure accuracy and identify any discrepancies. Payment Fee Optimization: Identify inefficiencies in payment processing costs and suggest actionable strategies to reduce expenses (e.g., routing logic, processor changes, pricing plans). Reporting & Dashboards: Build reports and visualizations to communicate fee trends, variances, and optimization opportunities to internal stakeholders. Stakeholder Collaboration: Work closely with finance, engineering, product, and vendor teams to ensure alignment and execution of cost-saving initiatives. Industry Benchmarking: Stay updated on industry best practices, interchange fee updates, and processor pricing models to support informed decision-making. Basic Qualifications Masters degree in Finance, Economics, Data Science, Engineering, or a related field. 4+ years of experience in payments, finance, analytics, or operations, preferably in a high-volume transaction environment (e.g., e-commerce, fintech, SaaS). Proficiency in SQL and experience working with large datasets. Strong analytical and reconciliation skills with attention to detail. Strong affinity for numbers with the ability to connect data-driven insights to real-world payment cost drivers and operational decisions. Proficient in Excel/Google Sheets, Pivot Tables and data visualization tools (e.g., Tableau, Looker, Power BI). Excellent communication skills, both written and verbal. Ability to work independently and manage multiple priorities. Ability to work in a fast paced environment and manage multiple tasks. Solid problem solving skills - the ability to break down complex problems and define a plan and the expected outcome. Preferred Qualifications Strong knowledge of SQL, and experience with building data visualizations and dashboards. Strong knowledge of Excel/Google Sheets with advanced Excel functions and experience with Pivot Tables Experience with payments cost analysis is a plus. Familiarity with interchange fee, scheme fees. Knowledge of the economic, legal, regulatory, and technical trends in the payments industry

About The Role Seamless payments are crucial to the exceptional experiences Uber provides for its users, drivers, couriers, and restaurant partners. The Core Payments team works cross-functionally to ensure smooth financial interactions throughout the Uber ecosystem. It operates with Uber's characteristic agility and scale, focusing on optimizing transaction success rates and costs. We are seeking a detail-oriented and analytical Senior Payments Analyst to join our team. This role is central to understanding and optimizing the cost of payments by analyzing payment processing fees, reconciling invoices, and driving cost-efficiency initiatives. The ideal candidate will have strong SQL skills, experience working with financial/payment data, and a deep affinity for numbers-with the ability to connect data points to uncover insights and influence cost-related decisions. If you enjoy working with data to solve real-world financial problems, this role offers a high-impact opportunity in a dynamic, cross-functional environment. What The Candidate Will Do Analyze Payment Costs: Write and optimize SQL queries to extract and analyze data related to payment transactions, fee structures, and processor charges. Invoice Reconciliation: Match actual payment fees with processor invoices to ensure accuracy and identify any discrepancies. Payment Fee Optimization: Identify inefficiencies in payment processing costs and suggest actionable strategies to reduce expenses (e.g., routing logic, processor changes, pricing plans). Reporting & Dashboards: Build reports and visualizations to communicate fee trends, variances, and optimization opportunities to internal stakeholders. Stakeholder Collaboration: Work closely with finance, engineering, product, and vendor teams to ensure alignment and execution of cost-saving initiatives. Industry Benchmarking: Stay updated on industry best practices, interchange fee updates, and processor pricing models to support informed decision-making. Basic Qualifications Masters degree in Finance, Economics, Data Science, Engineering, or a related field. 4+ years of experience in payments, finance, analytics, or operations, preferably in a high-volume transaction environment (e.g., e-commerce, fintech, SaaS). Proficiency in SQL and experience working with large datasets. Strong analytical and reconciliation skills with attention to detail. Strong affinity for numbers with the ability to connect data-driven insights to real-world payment cost drivers and operational decisions. Proficient in Excel/Google Sheets, Pivot Tables and data visualization tools (e.g., Tableau, Looker, Power BI). Excellent communication skills, both written and verbal. Ability to work independently and manage multiple priorities. Ability to work in a fast paced environment and manage multiple tasks. Solid problem solving skills - the ability to break down complex problems and define a plan and the expected outcome. Preferred Qualifications Strong knowledge of SQL, and experience with building data visualizations and dashboards. Strong knowledge of Excel/Google Sheets with advanced Excel functions and experience with Pivot Tables Experience with payments cost analysis is a plus. Familiarity with interchange fee, scheme fees. Knowledge of the economic, legal, regulatory, and technical trends in the payments industry