3197 Looker Jobs - Page 7

About Us Resolute is a forward-thinking investment firm committed to strategic diversification and sustainable growth across high-impact sectors. It’s diversified portfolio includes Hair Drama Company (a luxury fashion accessories brand specializing in Hair Accessories operating in India, UK and UAE), Sanghi Industries Limited (a prominent company jointly owned by Adani Group and the Sanghi Family), ShareSquare (Fractional Real Estate Platform based in Dubai), Resolute Sports (A sport franchise which owns Hyderabad Toofan Team in HIL and Delhi Toofan in VPL). We nurture ventures that redefine industry benchmarks and create long-lasting value. We are now seeking a visionary Analytics Head who can lead our data initiatives, drive strategic insights, and help translate complex data into powerful business decisions. Roles and Responsibilities Strategic Data Leadership : Define and lead the end-to-end data strategy, encompassing data acquisition, integration, processing, and visualization to deliver scalable analytics solutions across the organization. Business Intelligence & Insights : Identify trends and key business opportunities through deep analysis of large and complex datasets, including internal sources, third-party data, research publications, and digital channels such as social media. Collaboration with Leadership : Partner with executive leadership and key business stakeholders to translate strategic goals into analytical frameworks, KPIs, and data-driven solutions that drive decision-making. Data Architecture & Governance : Establish robust data protocols, models, and pipelines ensuring high data quality, consistency, and governance across the enterprise. Analytics Framework Development : Build, implement, and maintain leading-edge analytics frameworks for descriptive, predictive, and prescriptive insights using tools like Python, R, SQL, and cloud-based platforms (AWS, GCP, Azure). Innovation & Thought Leadership : Drive innovation in analytics, including the application of machine learning, AI, and automation to solve business challenges and create competitive advantage. Cross-functional Enablement : Enable cross-functional teams with the tools, platforms, and reports necessary to analyze and act on data effectively. Develop dashboards and interactive reports aligned with industry standards. Performance Monitoring : Design and maintain critical metrics and KPIs dashboards to track business performance, operational efficiency, and strategic alignment. Requirements Proven 7+ years of experience in analytics, data science, or business intelligence, including at least 2 years in a leadership role. Strong proficiency in SQL, Python, R, and modern data visualization tools (Tableau, Power BI, Looker, etc.). Expertise in data modelling, cloud data platforms (MS Azure, AWS Redshift, BigQuery, Snowflake), and ETL tools. Hands-on experience with machine learning models, statistical techniques, and AI-driven solutions. Strong understanding of data governance, security, and compliance standards. Excellent problem-solving and communication skills with the ability to convey complex data insights to non-technical stakeholders. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. Preferred Qualifications Prior experience in an investment firm, financial services, or high-growth startup environment. Familiarity with business operations across finance, product, and marketing. Experience with open-source data science libraries and deployment of ML models into production. Strong project management capabilities and familiarity with Agile methodologies.

As a Data Engineer at GreyOrange, you will be responsible for designing, developing, and maintaining ETL pipelines to ensure efficient data flow for high-scale data processes. Your primary focus will be on managing and optimizing data storage and retrieval in Google BigQuery, while ensuring performance efficiency and cost-effectiveness. Additionally, you will be setting up quick analytics dashboards using tools like Metabase, Looker, or any other preferred platform. Collaboration with internal analysts and stakeholders, including customers, is key in understanding data needs and implementing robust solutions. You will play a crucial role in monitoring, troubleshooting, and resolving data pipeline issues to maintain data integrity and availability. Implementing data quality checks and maintaining data governance standards across the ETL processes will also be part of your responsibilities. Automation will be a significant aspect of your role, where you will develop scripts for repetitive tasks and optimize manual processes. Documenting the entire analytics implementation and data structures will ensure a guide for all users. Staying updated with industry best practices and emerging technologies in data engineering and cloud-based data management is essential. In addition to the responsibilities, the following requirements are necessary for this role: - 4+ years of experience as a Data Engineer or in a similar role - Strong experience with ETL tools and frameworks such as Apache Airflow, Dataflow, Estuary - Proficiency in SQL and extensive experience with Google BigQuery - Setting up analytics dashboards using tools like Looker, Metabase - Knowledge of data warehousing concepts and best practices - Experience with cloud platforms, particularly Google Cloud Platform (GCP) - Strong analytical and problem-solving skills focusing on cost optimization in cloud environments - Familiarity with Python or other scripting languages for automation and data processing - Excellent communication skills and the ability to work collaboratively in a team environment - Experience with data modeling and schema design As a Data Engineer at GreyOrange, you will have the opportunity to provide guidance and mentorship to junior data engineers and data analysts when needed.,

Reporting Analyst Be the spark that brightens days and ignite your career with TTEC’s award-winning employment experience. As a Reporting Analyst working Onsite in the Hyderabad, you’ll be a part of bringing humanity to business. #experienceTTEC Our employees have spoken. Our purpose, team, and company culture are amazing and our Great Place to Work® certification in India says it all! What You’ll Do – Are you looking for an opportunity where you will bring your analytical skills to the table and provide recommendations to improve processes? As a Reporting Analyst/Sr Reporting Analyst, you will provide value added service to the TTEC client base by generating and analyzing operations and financial reporting. Responsibilities include business evaluation, process development, business analysis, business modeling and report development. You'll report to the Principal Reporting & Analytics. You’ll contribute to the success of the customer experience as well as the overall success of the team. During a Typical Day, You’ll: Lead data analysis and provide insights for continuous improvement initiatives in OPS. Design and implement scalable data models to improve reporting accuracy and efficiency. Develop database structures and reporting solutions using Looker, Studio, Power BI, SQL, and other tools. Collaborate with cross-functional teams (OPS leadership, clients, IT) to optimize performance and reporting frameworks. Participate in high level review discussions with OPS leadership and clients, representing the function in performance evaluations and OPS planning. Mentor colleagues within the function to enhance data analytics and reporting capabilities. What You Bring to the Role: Minimum 2+ years of experience in Reporting and Analytics (BPO experience required). Must-have: Advanced Excel Power Query VBA Strong understanding of data, performance and KPI - to be able to apply in BPO operations and to interpret reporting needs. Working knowledge of database management. Knowledge of Microsoft Fabric Proficiency in Looker, Power BI Strong data visualization skills—storytelling with data Excellent communication and comprehension skills Strong time management, prioritization, and problem solving abilities Good to have: Understanding of OPS excellence and process improvement tools (Lean Six Sigma, Scrum) Project management skills Experience with automation tools (Automation Anywhere, Pega) What You Can Expect Supportive of your career and professional development An inclusive culture and community minded organization where giving back is encouraged A global team of curious lifelong learners guided by our company values Ask us about our paid time off (PTO) and wellness and healthcare benefits And yes... a great compensation package and performance bonus opportunities, benefits you'd expect and maybe a few that would pleasantly surprise you (like tuition reimbursement) About TTEC Our business is about making customers happy. That's all we do. Since 1982, we've helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world's leading iconic and hypergrowth brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you. TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way. #L1 Onsite Primary Location : India-Telangana-Hyderabad

Navi is a rapidly growing financial services company in India that offers a range of products including Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. The mission of Navi is to provide digital-first financial solutions that are easy to use, accessible, and affordable. Leveraging our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to creating exceptional customer experiences. As a Navi_ite, you should embody the following qualities: - Perseverance, Passion, and Commitment: Demonstrate dedication, passion for Navi's mission, and ownership by going above and beyond in your responsibilities. - Obsession with high-quality results: Consistently deliver value to customers and stakeholders by producing high-quality outcomes, ensuring excellence in all work aspects, and achieving high standards through efficient time management. - Resilience and Adaptability: Quickly adapt to new roles, responsibilities, and changing circumstances while demonstrating resilience and agility. The role involves: - Monitoring delinquent accounts to meet Company standards - Evaluating underwriting model stability and recommending policy actions to increase approval rates or reduce risk - Developing and maintaining loss forecasting models and ECL provisioning for accounting purposes - Implementing a portfolio monitoring and early warning alert system for loan book health - Utilizing data for decision-making, ensuring data accuracy, defining metrics for process improvement, and identifying areas for product and process enhancement through customer segmentation and analysis - Working with the engineering and data platform team to ensure data availability and reliability Desired Candidate Profile: - Experience in managing multiple stakeholders - Startup mindset - Team building skills - Proficiency in SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight, etc.) - Understanding of basic statistical concepts and data platforms - Ability to identify relevant data for solving business problems and validating hypotheses - Prior experience in data modeling in R/Python and classification/regression techniques (Good to have) - Prior experience/understanding of lending/insurance/banking domain (Good to have),

Key Responsibilities Smooth academic delivery: By mapping and scheduling lectures across batches, you ensure students have uninterrupted learning experiences. Data-driven decisions: Your regular updates to Looker Studio dashboards (Faculty, CEO, Freshdesk, etc.) enable leadership to track performance and take timely action. Process efficiency: Maintaining raw data sheets and the auto-mapping sheet helps streamline backend workflows. Student satisfaction: Resolving student concerns and handling lecture link communication ensures a smooth academic experience. Faculty coordination: Managing faculty allocation and updating TA notes ensures high-quality and consistent class delivery. Web & mock test updates: Keeping course pages and mock dashboards current improves access and readiness for students. Visual planning: Creating weekly Canva schedules supports clear planning and coordination across batches. About Company: CATKing, a premier MBA coaching institute located in the heart of Mumbai, is a one-stop destination for each MBA/MS aspirant. Our full-time program has helped hundreds of aspirants find their way to the IIMs, JBIMS, MIT, and Harvard over the last few years. Classes take place on the weekend and weekday batches to suit the needs of the students. Our team comprises members who have previously worked with top companies such as GE (General Electric), Marico, Henkel, JP Morgan, and Accenture. The amount of exposure one gets while sharing the workspace with the most brilliant minds in the country is exceptional.

As a Healthcare Support Analyst at our US-based client, you will play a crucial role in providing exceptional support to healthcare clients by resolving product issues, creating custom reports using tools like Looker and Metabase, and identifying opportunities for upselling value-added solutions. Your responsibilities will involve being the primary point of contact for clients, translating complex data insights into actionable recommendations, collaborating with internal teams, and staying updated with product advancements and healthcare analytics trends. Taliun Solutions, a data-driven technology company headquartered in Silicon Valley, focuses on software innovation for the healthcare industry. Our mission is to empower healthcare organizations with data-driven solutions to enhance patient care, operational efficiency, and business outcomes. With expertise in AI, big data, and cloud computing, we develop intelligent systems that revolutionize healthcare operations. Key Responsibilities: - Serve as the primary client support contact, addressing product issues promptly and empathetically. - Develop and customize dashboards and reports using BI tools like Looker and Metabase to meet client-specific requirements. - Translate intricate data insights into actionable recommendations for internal and client stakeholders. - Identify opportunities to upsell new features or services based on client needs and usage patterns. - Collaborate with Customer Success, Sales, and Product teams to ensure a seamless customer experience. - Maintain documentation of support tickets, knowledge base articles, and training materials. - Keep abreast of product updates and healthcare analytics trends to better assist customers. Qualifications: - Minimum 2 years of experience in customer-facing support or analyst roles, preferably in healthcare or B2B SaaS. - Proficiency in BI tools such as Looker, Metabase, and SQL query writing. - Strong analytical skills with the ability to simplify complex data. - Excellent communication and interpersonal abilities. - Experience with EHR/EMR data or healthcare datasets is advantageous. - Customer-centric mindset and adeptness in upselling value-added solutions. Bonus Points For: - Familiarity with self-funded healthcare, DPC, TPAs, or provider networks. - Knowledge of HIPAA compliance and data privacy best practices. - Basic understanding of APIs for data integration between systems. If you are passionate about influencing the future of healthcare through innovative data solutions and possess the required qualifications and skills, we welcome you to join our dynamic team at Taliun Solutions. Visit our website at www.taliun.com for more information.,

Hi, we’re TechnologyAdvice. At TechnologyAdvice, we pride ourselves on helping B2B tech buyers manage the complexity and risk of the buying process. We are a trusted source of information for tech buyers, delivering advice and facilitating connections between our buyers and the world’s leading sellers of business technology. Headquartered in Nashville, Tennessee, we are a remote-first company with more than 20 digital publications and over 500 global team members in the US, UK, Singapore, Australia, and the Philippines. We’re proud to have been repeatedly recognized as one of America’s fastest growing private companies by Inc., as well as a Tennessee top workplace. We work hard each day and have fun, too, with monthly virtual events, recreational slack channels, and the occasional costumed dance from our CEO. All positions are open to remote work unless otherwise specified in the requirements below. The opportunity As an Analytics Engineer and data modeler within the Business Intelligence team at TechnologyAdvice, you will transform source data into standardized reporting assets to improve business performance and help connect technology buyers and sellers. You will architect source-of-truth data schemas to support business intelligence and enable data-led opportunities. You will create and maintain semantic layers within reporting workflows, driving accuracy and consistency in how business logic is applied. You will work with business intelligence and data science to ensure adoption of standardized reporting tables. You will build production data products that serve as building blocks for predictive models and customer-facing experiences. You will address data quality issues to improve accuracy and increase transparency around upstream failures. You will develop governed production workflows to ensure stability and oversight in reporting processes. You will engineer logical, usable data models to support reporting self-service and adapt to continuously evolving data sources. Success in this role requires the ability to partner effectively with internal stakeholders and develop a deep understanding of the data used to measure and optimize business performance. A positive attitude, attention to detail, and the ability to adapt to changing priorities are essential. If you’re looking for a role where your contributions make a difference and your ideas are welcomed, we want to hear from you. Location: India What You'll Do Own the full lifecycle of data model development, including ideation, prototyping, implementation, refactoring, and deprecation of outdated assets. Develop and maintain semantic data models that serve as the source-of-truth for data customers across the organization. Build common dimension tables to support enterprise reporting use cases and improve data model consistency and maintainability. Document and translate business requirements into data complex models that cover enterprise reporting needs, including marketing attribution and revenue recognition. Standardize data nomenclature and data type conventions and transform legacy data objects to standardized models. Partner with engineering, business intelligence, data science, and other teams to ensure alignment on development priorities and data solutions. Build workflows that maximize the efficiency of data processes while maintaining high standards of data quality, data usability, and performance. Adhere to best practices related to metadata management and metadata reporting. Develop subject matter expertise in specific business areas and data domains, and help educate customers regarding the correct utilization of data objects. Build and maintain production data products that serve as building blocks for business intelligence reporting, predictive data models, and product-led development initiatives. Create and maintain data lineage documentation to improve transparency and auditability of data transformations and dependencies. Implement automated data validation and testing frameworks to ensure data model integrity and trustworthiness. Manage quality assurance workstreams and drive adoption of appropriate incident management frameworks for enterprise reporting. Partner with data engineering to optimize data transformations and scheduled procedures for cost, performance, and reporting schedules. Work directly with business intelligence analysts to enforce the adoption of relevant data models and capture reporting requirements for data model development. Partner with upstream data owners to identify opportunities to improve downstream reporting capabilities, reduce model complexity, and increase data coverage. Participate in agile development processes, including sprint planning, retrospectives, and iterative delivery of data products. Understand stakeholder business objectives and how data and analytics solutions can help internal customers meet their goals. Identify opportunities for data acquisition or data integration projects to improve the value of enterprise data assets. Who You Are Bachelor's or Master's degree in a relevant field such as Computer Science, Information Systems, Data Science or a related discipline. 4-6 years of experience in data engineering, analytics engineering, data modeling, data architecture or data science, preferably in a digital business. Understanding of best practices for designing modular and reusable data structures (e.g. star and snowflake schemas) and implementing conceptual and logical data models Advanced SQL techniques for data transformation, querying, and optimization. Experience working within cloud-based data environments such as Snowflake, Redshift, or BigQuery and managing database procedures and functions. Knowledge of data transformation frameworks and data lineage best practices. Experience building, maintaining, and optimizing ETL/ELT pipelines, using modern tools like dbt, Dagster, Airflow, or similar. Familiarity with version control, CI/CD, and modern development workflows. Experience applying AI to improve work quality and the efficiency of the data model development process. Ability to collaborate cross-functionally with data analysts, engineers, and business stakeholders to understand data needs and translate them into scalable models Knowledge of data governance principles, data quality standards, and regulatory compliance (e.g., GDPR, CCPA) is a plus. Expertise in scripting and automation with experience in object-oriented programming and building scalable frameworks is a plus. Experience building production dashboards using tools such as Tableau, Power BI, or Looker is a plus. Strong attention to detail and a passion for staying updated with industry trends and emerging data management and data transformation technologies. Agile professional who excels in a fast-paced environment and thrives on continuously pivoting strategies to drive business needs forward Please note that, as this is a contract position, no perks or benefits are included with this role. Work authorization Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in India at hire and must maintain authorization to work in India throughout their employment with our company. Salary Range We seek to hire top-tier individuals and intend for our compensation to be at a rate that allows us to recruit and retain individuals who align with our core values, purpose, mission, and vision. Final total compensation is based on a multitude of factors including, but not limited to, skill level, relevant experience to the position, and cost of labor. Hourly pay range ₹1,600—₹2,500 INR EOE statement We believe that our differences make us stronger, and thus foster a diverse and inclusive culture where people feel safe being themselves. TechnologyAdvice is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law. Pre-employment screening required. TechnologyAdvice does not engage with external staffing agencies. Any candidates introduced by such firms will not be eligible for compensation. Any AI-generated or incomplete application answers will be auto-rejected.

Join Zendesk as a Data Engineering Manager and lead a team of data engineers who deliver meticulously curated data assets to fuel business insights. Collaborate with Product Managers, Data Scientists, and Data Analysts to drive successful implementation of data products. We are seeking a leader with advanced skills in data infrastructure, data warehousing, and data architecture, as well as a proven track record of scaling BI teams. Be a part of our mission to embrace data and analytics and create a meaningful impact within our organization. You will foster the growth and development of a team of data engineers, design, build, and launch new data models and pipelines in production, and act as a player-coach to amplify the effects of your team's work. Foster connections with diverse teams to comprehend data requirements, help develop and support your team in technical architecture, project management, and product knowledge. Define processes for operational excellence in project management and system reliability and set direction for the team to anticipate strategic and scaling-related challenges. Foster a healthy and collaborative culture that embodies our values. What You Bring to the Role: - Bachelor's degree in Computer Science/Engineering or related field. - 7+ years of proven experience in Data Engineering and Data Warehousing. - 3+ years as a manager of data engineering teams. - Proficiency with SQL & any programming language (Python/Ruby). - Experience with Snowflake, BigQuery, Airflow, dbt. - Familiarity with BI Tools (Looker, Tableau) is desirable. - Proficiency in modern data stack and architectural strategies. - Excellent written and oral communication skills. - Proven track record of coaching/mentoring individual contributors and fostering a culture valuing diversity. - Experience leading SDLC and SCRUM/Agile delivery teams. - Experience working with globally distributed teams preferred. Tech Stack: - SQL - Python/Ruby - Snowflake - BigQuery - Airflow - dbt Please note that this position requires physical location in and working from Pune, Maharashtra, India. Zendesk software was built to bring calm to the chaotic world of customer service. We advocate for digital-first customer experiences and strive to create a fulfilling and inclusive workplace experience. Our hybrid working model allows for connection, collaboration, and learning in person at our offices globally, as well as remote work flexibility. Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans. If you require an accommodation to participate in the hiring process, please email peopleandplaces@zendesk.com with your specific request.,

About BizAcuity Who are we BizAcuity is on a mission to help enterprises get most out of their data by providing Business Intelligence and Data Analytics services, product development and consulting services for clients across globe in various domains / verticals. Established in 2011, by a strong leadership team and a team of 200+ engineers, we have made a mark as a world class service provider and compete with large service providers to win business. BizAcuity has developed and delivered high class enterprise solutions to many medium to large clients using modern and the best technologies in the data engineering and analytics world. Our services include - Business Intelligence Consulting , Advanced Analytics, Managed Services, Data Management, Cloud Services, Technology Consulting , Application Development and Product Engineering. For more information on BizAcuity, log on to - https://bizacuity.com/ Job Title: Pre-Sales Manager-Enterprise Solutions (Full Time / on BizAcuity payroll) Job Mode: Work from Office Job Location: Bangalore / Hyderabad Job Summary: The Pre-Sales Manager / Solution Consultant will be a key driver of new business acquisition, leveraging deep technical and business expertise to guide the sales process. This role demands a strong ability to understand complex customer challenges, architect tailored solutions, and persuasively demonstrate our product&aposs value to prospective clients. The ideal candidate will possess a blend of technical acumen, sales aptitude, and a consultative approach to effectively translate client needs into compelling solutions. Key Responsibilities: Sales Skills & Customer Engagement: Collaborate strategically with the sales team to identify opportunities, qualify leads, and develop effective sales strategies. Employ a consultative sales approach to build strong relationships with prospects and customers, understand their business challenges, and position our solutions as the optimal solution. Effectively communicate the business value and ROI of our solutions to both technical and non-technical audiences, including C-level executives. Act as a trusted technical advisor and advocate for customers, building credibility and fostering long-term partnerships. Proactively identify and address customer concerns and objections throughout the sales process. Assist the sales team in preparing and delivering compelling responses to RFPs, RFIs, and technical inquiries. Create high-quality technical documentation, proposals, and presentations that support the sales process and effectively communicate our value proposition. Technical Solutioning: Develop and maintain in-depth technical knowledge of our products, solutions, and underlying technologies. Stay current with industry trends, emerging technologies, and advancements in the data analytics and business intelligence space. Conduct thorough needs assessments to capture detailed customer requirements, business objectives, and technical specifications. Architect and design innovative, tailored solutions that precisely address customer challenges and align with their strategic goals. Develop and deliver compelling, persuasive technical presentations and product demonstrations that showcase the value and differentiation of our solutions. Lead the development of Proof-of-Concept (POC) projects and customized demonstrations to validate proposed solutions and drive customer confidence. Provide expert technical guidance and solution recommendations throughout the sales cycle. Collaborate closely with product management, engineering, and support teams to ensure proposing solutions are feasible and customer requirements are accurately captured for implementation. Post-Sales Transition: Ensure a smooth and efficient handover of new customers to the implementation and support teams. Maintain customer satisfaction during the onboarding process by providing ongoing support and guidance. Qualifications: Education: Bachelor in Engineering / degree in Computer Science/Information Technology, is a plus. Experience: 8 + years of experience in the IT / Software Industry is a MUST, in a pre-sales, solution consulting, or similar customer-facing solutioning role, Experience in the Business Intelligence or Data Analytics domain is a big plus. Having an experience working on projects within a BI ecosystem, including solution design, implementation, and deployment, with a focus on data warehousing, data analytics, and master data management, a plus Proven track record of driving revenue growth in a pre-sales or technical sales support role. Technical Skills: Strong understanding of software solutions, cloud technologies, and enterprise IT environments. Proficiency in data analytics concepts, methodologies, and technologies (e.g., SQL, data warehousing, ETL, data modeling, data mining, BI tools, data visualization, reporting, and dashboarding). Experience with Master Data Management (MDM) principles, practices, and tools. Experience with BI platforms (e.g., Tableau, Power BI, Looker) and database systems. Familiarity with cloud-based data warehousing solutions (e.g., Snowflake, Redshift, BigQuery. Soft Skills: Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Exceptional problem-solving, analytical, and critical-thinking skills. Strong business acumen and a customer-centric approach. Ability to work independently, take initiative, and collaborate effectively within a team environment. Show more Show less

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The mission of Roku's Data Engineering team is to develop a world-class big data platform so that internal and external customers can leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As Senior Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capturing different business metrics across different Roku Devices. About the role Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetise large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay-TV operators.With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.This role is based in Bangalore, India and requires hybrid working, with 3 days in the office. What you'll be doing Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service Build data pipelines that optimise on data quality and are resilient to poor quality data sources Own the data mapping, business logic, transformations and data quality Low level systems debugging, performance measurement & optimization on large production clusters Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects Maintain and support existing platforms and evolve to newer technology stacks and architectures We're excited if you have Extensive SQL Skills Proficiency in at least one scripting language, Python is required Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc. Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures. Experience with AWS, GCP, Looker is a plus Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables 5+ years professional experience as a data or software engineer BS in Computer Science; MS in Computer Science preferred AI Literacy / AI growth mindset Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Role : Lead, Customer Data Insights & Analytcs Location : Bangalore Your Role As the Lead, Customer Data Insights & Analytics , you will be at the center of transforming how we listen to, interpret, and act on the voice of our customers. This is a strategic and hands-on role that combines operational excellence, data storytelling, and cross-functional leadership to enhance the end-to-end customer journey. You’ll champion data-driven decisions, optimize customer-facing processes, and elevate how we measure and improve customer experiences across the company. Your Impact To succeed in this role, you should be passionate about creating frictionless operations to improve the SolarWinds customer experience. You will have the following responsibilities Customer Insights & Analytics Build a centralized insights engine to translate NPS, CSAT, digital behavior, support interactions, and operational data into actionable CX insights. Partner with Data, Salesforce, and Customer Success teams to embed predictive models that identify churn risk, advocacy, and engagement patterns. Design and maintain CX dashboards and reporting tools that surface trends, friction points, and improvement opportunities across the journey. Process & Experience Optimization Identify and resolve customer journey pain points by leveraging automation, AI, and workflow enhancements. Lead cross-functional initiatives that optimize tools, systems, and processes used by Support, Success, Academy, and Product teams. Establish and document scalable workflows , survey cadences, and insight-to-action loops. CX Technology & Innovation Evaluate and implement new technologies (AI, automation platforms, feedback tools) to improve listening and response across channels. Collaborate with engineering and IT teams to improve data architecture and feedback flow integration (Salesforce, Gainsight, Qualtrics, etc.). Strategic Enablement Deliver insight-driven recommendations to senior leadership and stakeholders, informing product, GTM, and service strategy. Shape quarterly CX business reviews and customer storytelling backed by data. Serve as a champion of CX operational excellence and continuous improvement . Your Experience 5+ years of experience in customer experience, business operations, or data strategy roles, ideally in a B2B SaaS or tech company. Proven track record in turning data into strategic insights , especially with NPS, CSAT, churn, and engagement metrics. Strong experience with Salesforce , BI tools (Power BI, Tableau, Domo, Looker), and customer feedback platforms (e.g., Qualtrics, Medallia). Working knowledge of AI and automation concepts in CX, such as sentiment analysis, predictive scoring, or journey analytics. Strong project management and cross-functional collaboration skills. Bachelor’s degree in Business, Analytics, Engineering, or related field (MBA preferred). Excellent communication and stakeholder engagement skills in a global matrixed environment.

AI-Driven SEO Skills The core requirements for the job include the following: Prompt Engineering: Crafting prompts for tools like ChatGPT to generate SEO content ideas, meta descriptions, alt texts, FAQs, etc. SEO Automation Surfer SEO, Clearscope, and Neuron Writer for content optimization. ChatGPT + Zapier for automating reports or content workflows. Python + GPT API to bulk-generate metadata or keyword clusters. AI-Assisted Content Strategy Keyword clustering at scale using tools like Keyword Insights, Low Fruits, or Frase. Programmatic SEO (e. g., generating 100s of location/product pages with templates + AI copy). Data Analysis And Visualization Extracting insights from large keyword datasets using Python, Excel, and Looker Studio Understanding algorithm changes and adapting strategy dynamically Core SEO Expertise (Foundational) Technical SEO: Crawlability, indexing, sitemaps Core Web Vitals and page speed optimization Structured data/schema markup On-Page Optimization Keyword strategy and mapping Content structure, metadata, internal linking Off-Page SEO Link-building strategy Brand reputation and E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) Analytics And Reporting GA4 GSC, Ahrefs, Semrush, Screaming Frog KPI tracking (CTR, rankings, conversions) Strategic And Soft Skills Growth Mindset and Experimentation: A/B testing landing pages, content formats, and CTAs. Cross-Functional Collaboration: Working with devs for technical fixes, content writers for AI-assisted content, and product teams for feature pages. Content and UX Sensitivity: Balancing AI-generated content with human review. Aligning SEO with actual user intent and experience. Tools Content Optimization: Surfer SEO, Clearscope, NeuronWriter. Keyword Clustering: Keyword Insights, ChatGPT + Python. Automation: Zapier, Make, ChatGPT API, Sheet tools. Analytics: GA4 GSC, Looker Studio, Screaming Frog. Content Generation: ChatGPT, Jasper, Writesonic, Koala AI. This job was posted by Mamta Naagar from Rupeezy.

We are seeking a skilled and detail-oriented Product Analytics Specialist to lead and execute product analytics projects across our SaaS and e-commerce clients. The ideal candidate has a strong understanding of product KPIs, hands-on experience in building tracking plans, and implementing tools like Mixpanel, Amplitude, Heap, or PostHog. The candidate must be technically capable of configuring tag managers or SDK-based tracking setups and should be comfortable working directly with product managers, developers, and marketing teams to validate data, drive insights, and support growth initiatives. Responsibilities Own end-to-end analytics implementation for SaaS and e-commerce clients, including requirement gathering, tracking plan creation, and tool configuration. Develop event-based tracking strategies aligned to product journeys, growth loops, conversion funnels, retention metrics, and other business goals. Implement and configure product analytics tools such as Mixpanel, Amplitude, Heap, PostHog, or similar platforms. Collaborate closely with product and engineering teams to define and instrument product events using tag managers (GTM or direct SDK integrations hands-on experience in these implementations is mandatory. Independently set up and validate events, user properties, and custom parameters through GTM, Segment, RudderStack, or SDKs based on project needs. Ensure data accuracy through QA processes, browser developer tools, real-time debuggers (e. g., Mixpanel Live View, Amplitude Debugger), and test environments. Define and monitor core KPIs like activation, engagement, churn, retention, funnel drop-off, LTV, and feature adoption. Translate business needs into dashboards and reports, and extract insights to drive product improvement and customer experience. Identify tracking gaps, recommend improvements, and support A/B testing and experimentation frameworks. Provide documentation and training to internal and client stakeholders on product analytics best practices. Requirements 2+ years of hands-on experience in product analytics, preferably across SaaS and e-commerce businesses. Deep understanding of product and user behavior metrics, such as DAU/WAU/MAU, retention cohorts, feature usage, funnel conversion, churn analysis, and engagement drivers. Proven track record of working with and configuring analytics tools like Mixpanel, Amplitude, Heap, and ostHog. Strong experience building and managing tracking plans, defining events, properties, and taxonomies. Must have hands-on experience with Google Tag Manager (GTM), Segment, RudderStack, and SDK-based tracking approaches. Solid debugging and QA skills to ensure the accuracy and completeness of tracking. Comfortable with data visualization tools like Looker Studio, Power BI, or similar platforms. Technical exposure to JavaScript, browser dev tools, data layers, and tag debugging is a plus. Understanding of marketing attribution, experimentation, and user segmentation. Excellent written and verbal communication skills for cross-functional collaboration. Experience with server-side tagging or warehouse-native event tracking. Familiarity with cloud data platforms like BigQuery, Snowflake, or data pipelines like dbt and Airbyte. Understanding of privacy regulations (GDPR, CCPA) as they relate to event tracking. Exposure to growth experimentation or product-led growth (PLG) environments. This job was posted by Nilesh Chintawar from Kaliper.

Responsibilities Data Collection & Processing Extract, clean, and validate data from diverse sources. Develop and maintain data pipelines for reporting and analysis. Ensure data integrity and quality in reports and dashboards. Analysis & Insight Generation Conduct exploratory data analysis to identify trends, patterns, and anomalies. Deliver insights through clear storytelling and data interpretation. Support business teams in defining KPIs and tracking metrics. Reporting & Visualization Build and maintain automated dashboards and reports using tools like Power BI, Tableau, Looker, or Google Data Studio. Translate complex data into user-friendly visualizations. Enable self-serve analytics by improving access to reporting tools and data layers. Cross-functional Collaboration Work with stakeholders to translate analytical requirements into technical solutions. Partner with product, marketing, finance, and operations for high-impact analyses. Provide data-driven recommendations for strategic and operational decisions. Process Improvement & Documentation Identify opportunities to optimize reporting processes and reduce manual work. Document datasets, definitions, and business logic for shared understanding. Requirements Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, Economics, or a related field. 3+ years in Data/Business Analyst roles. Proficient in SQL, data visualization (Power BI, Tableau, Looker), Excel/Google Sheets. Strong understanding of data structures, databases (PostgreSQL, MySQL, BigQuery), and ETL. Excellent analytical and problem-solving skills. Python/R knowledge is a plus. Good communication and collaboration skills. Knowledge of version control (e. g., Git) and collaborative workflows. Experience with A/B testing/experimentation. Exposure to cloud platforms (AWS, GCP, Azure) and data warehousing. Familiarity with business intelligence in SaaS, e-commerce, or product-led growth. Knowledge of version control (Git) and collaborative workflows. This job was posted by Aarti Jha from Emergent.

As a Senior Project Manager at TechHarbor Partners, you will oversee end-to-end delivery of large-scale, cross-functional initiatives across cloud infrastructure, AI enablement, enterprise collaboration platforms, and financial viability. This leadership role requires deep expertise in program management, team leadership, and stakeholder engagement in fast-paced, technology-driven environments. Key Responsibilities Lead the planning, execution, and delivery of multimillion-dollar, enterprise-scale IT and cloud transformation programs (e.g., M365 Copilot deployment, Office 365 migrations, telephony modernization, virtual desktop initiatives). Manage project/program budgets, schedules, and resources, ensuring delivery within scope, on time, and on budget. Direct cross-functional teams of engineers, business analysts, compliance, and risk management professionals through all phases of the project lifecycle, including requirements gathering, design, development, testing, deployment, and post-launch support. Coordinate complex, multi-vendor ecosystems Develop and drive project governance, including RAID logs, risk mitigation strategies, compliance and security reviews, POCs, and Architectural Review Board approvals. Oversee and report on program KPIs, burndown metrics, incident response, and SLAs using dashboard tools such as Looker Studio, Tableau, and Grafana. Align project outcomes with business and technology strategy, communicating status, risks, and wins to executive leadership and stakeholders. Enable change management and user adoption through training, documentation, communications, and ongoing stakeholder engagement. Stay abreast of technology trends in cloud infrastructure, AI automation, VDI, and Zero Trust security. Required Experience and Skills Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 9+ years in IT program/project management with demonstrated experience leading major cloud/platform/infrastructure transformation projects. Experience managing virtual desktop infrastructure (Windows 365, Azure Virtual Desktop, Citrix), large-scale cloud migrations, and enterprise SaaS deployments (e.g., M365 Copilot, Confluence, Zoom, ServiceNow integrations). Proven ability to coordinate multiple, concurrent workstreams (15–20+) using Agile/Hybrid methodologies, JIRA, and milestone-driven tracking. Strong vendor management, procurement, and contract negotiation skills. Familiarity with security frameworks (Zero Trust, compliance regimes) and the ability to align technical initiatives with organizational policies. Proficiency with dashboard/reporting tools (Looker Studio, Tableau, Grafana) and executive communication via Confluence, Teams, or Slack. Excellent leadership, team collaboration, communication, and risk mitigation abilities. Preferred Qualities Experience working with financial services or highly regulated industries. History of delivering AI/automation or productivity enablement solutions enterprise-wide. Certifications: PMP, Scrum Master, ITIL, or Azure/Microsoft certifications.

He should have knowledge of Macros, if possible Thorough Knowledge of Excel or Google Sheets , Advance Excel, He should have good knowledge of different Excel Formulas If Interested Kindly Share Updated Resume at t.globalzonehr@gmail.com with following Details Current Ctc Expected Ctc Notice Period

You will be our first commercial leader, stepping in to own and scale the entire revenue function. This is not a traditional sales role; you'll lead market research, pricing, packaging, GTM planning, automation, and team building. You'll work closely with the founders but have full ownership of commercial decisions. Responsibilities Define and execute go-to-market strategies for both SquareOps (services) and Atmosly (SaaS). Identify target segments, ICPs, and high-ROI outreach channels across India and global markets. Design and run pricing and packaging experiments to optimize conversion and revenue. Build and lead a high-performing GTM team (sales, pre-sales, SDRs, partner/channel). Create sales playbooks, pitch materials, objection handling, and demo flows. Own the CRM pipeline, forecasting, and performance reporting. Conduct ongoing competitor research, keyword analysis, and market mapping. Track funnel performance and metrics like CAC, LTV, payback, win rate, and churn. Present insights that influence roadmap, pricing, and campaign investments. Use tools like ChatGPT, Clay, Browse AI, Apollo, Zapier, or custom scripts to automate GTM workflows. Build dashboards and reporting flows using Airtable, Notion, Google Sheets, or Looker Studio. Set up lead enrichment, outreach workflows, and follow-up automation to streamline operations. Collaborate with marketing on SEO, demand-gen campaigns, and retargeting funnels. Work with founders and the engineering team to translate market feedback into product roadmap inputs. Represent the customer voice in pricing, onboarding, and packaging discussions. Requirements 7-12 years of experience in technical services or SaaS companies, ideally in DevOps, cloud, or security. Proven experience building GTM/sales functions from scratch or scaling early-stage teams. Strong analytical skills with a love for data-backed decision making. Fluency in GTM tools: HubSpot, LinkedIn Sales Nav, Clay, Webscraper.io, ChatGPT, or equivalents. Comfortable with light scripting (Python, Sheets, Airtable) to automate repetitive tasks. Bonus: Experience with AWS Partnership programs or SaaS channel strategy. Strong understanding of cloud, DevOps tools, Kubernetes, CI/CD, and enterprise infra needs. This job was posted by Hr Squareops from SquareOps.

The Opportunity Works independently under close supervision, design, analyze, evaluate, test, debug and implement applications programs supporting the company infrastructure business processes and operations and/or network-based (cloud) product systems. Analyze, install, acquire, modify and support operating systems, database or utilities software. Plan, conduct and direct the analysis of business problems with automated systems solutions. Analyze, design, acquire and implement projects for LAN and/or WAN systems. Plan, designs, acquire and implement telecommunications voice/wire systems. Avantor is looking for a curious, analytical, and detail-oriented Digital Advertising Analyst to support performance measurement, reporting, and strategic insights across our paid media campaigns. As a core member of the Digital Advertising Team, you will partner closely with Paid Social, Programmatic, and SEM channel leads to analyze campaign data, uncover trends, and help optimize media investments across platforms. If you're passionate about turning data into actionable marketing insights and enjoy working in a fast-paced digital environment, this role is for you. What We’re Looking For Education: Any Bachelor's/Master’s Degree Experience: 2–4 years of experience in digital marketing analytics, media reporting, or performance marketing analysis. Preferred Qualifications Proficient in tools like Google Analytics (GA4), Looker Studio, Excel/Google Sheets, and platform dashboards (Meta Ads Manager, LinkedIn, The Trade Desk, Google Ads, etc.). Strong analytical and problem-solving skills with attention to data accuracy and storytelling. Understanding of digital advertising KPIs and media metrics. Ability to translate complex data into clear insights for non-technical stakeholders. Nice To Have Experience with attribution tools, tag managers (e.g., GTM), or data visualization platforms (e.g., Tableau, Power BI). Familiarity with SQL or other query languages. Exposure to A/B testing platforms or marketing experimentation frameworks. Interest in consumer behavior, media strategy, or marketing science. How Will You Thrive And Create An Impact Campaign Analytics & Reporting Analyze data from various sources, including Google Ads, social media platforms, and website analytics, to understand campaign performance and identify areas for improvement. Create reports and recommendations to optimize digital advertising campaigns, ensuring they align with business goals and deliver desired results Prepare reports on campaign performance, including metrics like click-through rates, conversion rates, and cost per click, to inform future campaigns. Conduct market research to understand consumer behavior, trends, and preferences, helping businesses develop effective marketing strategies. Collaborate with marketing teams to communicate campaign results, strategies, and adjustments based on customer feedback. Build and maintain campaign dashboards and reports using tools like Looker Studio, Power BI, Google Analytics, Excel/Google Sheets, and ad platform UIs. Track key performance indicators (KPIs) such as CTR, CPC, CPA, ROAS, and conversion rates, ensuring data integrity and consistency. Insights & Optimization Support Deliver insights and recommendations to channel leads and stakeholders based on campaign data. Identify performance trends, audience behaviors, and creative effectiveness to guide optimization strategies. Assist in A/B testing analysis and contribute to campaign retrospectives and post-mortems. Data Management & Attribution Support the implementation and QA of tracking pixels, UTM parameters, and platform tags to ensure accurate performance tracking. Assist with attribution analysis and work cross-functionally with Analytics and Web teams to support multi-touch attribution and customer journey reporting. Cross-Team Collaboration Collaborate with Paid Social, Programmatic, SEM, and Creative teams to understand campaign goals and align reporting needs. Work with Marketing Operations teams to standardize reporting frameworks and ensure alignment on data definitions and KPIs. Market & Competitor Research Conduct research on industry benchmarks, ad trends, and competitive performance to provide strategic context and support media planning. Disclaimer The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 3rd Party Non-solicitation Policy By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation

We are looking for a skilled Data Engineer with a solid background in building and maintaining scalable data pipelines and systems. You will work closely with data analysts, engineering teams, and business stakeholders to ensure seamless data flow across platforms. Responsibilities Design, build, and optimize robust, scalable data pipelines (batch and streaming). Develop ETL/ELT processes using tools like Airflow, DBT, or custom scripts. Integrate data from various sources (e. g., APIs, S3 databases, SaaS tools). Collaborate with analytics and product teams to ensure high-quality datasets. Monitor pipeline performance and troubleshoot data quality or latency issues. Work with cloud data warehouses (e. g., Redshift, Snowflake, BigQuery). Implement data validation, error handling, and alerting for production jobs. Maintain documentation for pipelines, schemas, and data sources. Requirements 3+ years of experience in Data Engineering or similar roles. Strong in SQL and experience with data modeling and transformation. Hands-on experience with Python or Scala for scripting/data workflows. Experience working with Airflow, AWS (S3 Redshift, Lambda), or equivalent cloud tools. Knowledge of version control (Git) and CI/CD workflows. Strong problem-solving and communication skills. Good To Have Experience with DBT, Kafka, or real-time data processing. Familiarity with BI tools(e. g., Tableau, Looker, Power BI). Exposure to Docker, Kubernetes, or DevOps practices. This job was posted by Harika K from Invictus.

As a Senior Data Engineer, you will architect, build, and maintain our data infrastructure that powers critical business decisions. You will work closely with data scientists, analysts, and product teams to design and implement scalable solutions for data processing, storage, and retrieval. Your work will directly impact our ability to leverage data for business intelligence, machine learning initiatives, and customer insights. Responsibilities Design, build, and maintain our end-to-end data infrastructure on AWS and GCP cloud platforms. Develop and optimize ETL/ELT pipelines to process large volumes of data from multiple sources. Build and support data pipelines for reporting, analytics, and machine learning applications. Implement and manage streaming data solutions using Kafka and other technologies. Design and optimize database schemas and data models in ClickHouse and other databases. Develop and maintain data workflows using Apache Airflow and similar orchestration tools. Write efficient, maintainable, and scalable code using PySpark and other data processing frameworks. Collaborate with data scientists to implement ML infrastructure for model training and deployment. Ensure data quality, reliability, and security across all data platforms. Monitor data pipelines and implement proactive alerting systems. Troubleshoot and resolve data infrastructure issues. Document data flows, architectures, and processes. Stay current with industry trends and emerging technologies in data engineering. Requirements Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred). 5+ years of experience in data engineering roles. Strong expertise in AWS and/or GCP cloud platforms and services. Proficiency in building data pipelines using modern ETL/ELT tools and frameworks. Experience with stream processing technologies such as Kafka. Hands-on experience with ClickHouse or similar analytical databases. Strong programming skills in Python and experience with PySpark. Experience with workflow orchestration tools like Apache Airflow. Solid understanding of data modeling, data warehousing concepts, and dimensional modeling. Knowledge of SQL and NoSQL databases. Strong problem-solving skills and attention to detail. Excellent communication skills and ability to work in cross-functional teams. Experience in D2C, e-commerce, or retail industries. Knowledge of data visualization tools (Tableau, Looker, Power BI). Experience with real-time analytics solutions. Familiarity with CI/CD practices for data pipelines. Experience with containerization technologies (Docker, Kubernetes). Understanding of data governance and compliance requirements. Experience with MLOps or ML engineering Technologies. Cloud Platforms: AWS (S3 Redshift, EMR, Lambda), GCP (BigQuery, Dataflow, Dataproc). Data Processing: Apache Spark, PySpark, Python, SQL. Streaming: Apache Kafka, Kinesis. Data Storage: ClickHouse, S, 3 BigQuery, PostgreSQL, MongoDB. Orchestration: Apache Airflow. Version Control: Git. Containerization: Docker, Kubernetes (optional). This job was posted by Sidharth Patra from Traya Health.

We are seeking a dynamic and relationship-driven Customer Success Manager to join our team. In this role, you will be the primary point of contact for our key clients, helping to drive engagement, retention, and account growth. You'll combine strategic thinking, data analysis, and financial acumen to ensure our clients receive maximum value from TIFIN's offerings. Responsibilities Own and manage relationships with key accounts, building strong rapport and long-term trust. Act as the first point of contact for any client issues, ensuring quick resolution and seamless communication. Drive client engagement by delivering regular check-ins, presentations, and performance reviews. Identify and capitalize on upsell and cross-sell opportunities within existing accounts. Collaborate with internal teams (product, tech, sales) to align solutions with client needs. Monitor key success metrics, analyze data, and provide actionable insights to clients. Contribute to strategic planning, client retention initiatives, and growth strategies. Ensure customer satisfaction by advocating for the client within TIFIN. Requirements 6+ years of experience in Customer Success, Account Management, or similar client-facing roles, preferably in a fast-paced startup environment. Prior experience in finance, fintech, or investment management is highly preferred. Demonstrated ability to build and manage key client relationships, drive account growth, and ensure client satisfaction. Strong data analytics skills - must be comfortable working with dashboards, interpreting data, and using insights to influence strategy and decision-making. Excellent communication and presentation skills with the ability to explain complex/technical concepts to non-technical audiences. Proven success in managing multiple accounts and balancing diverse stakeholder needs. Highly strategic and solution-oriented, with a strong problem-solving mindset. Bachelor's degree in Finance, Business, or a related field; MBA is a plus. Familiarity with tools like Excel, Tableau, Power BI, Looker, or other analytics/dashboard platforms is an added advantage. This job was posted by Sneha Das from TIFIN.

Company Description At The TuitionE, we provide online tutoring along with all kind of afterschool service for IB, IGCSE, ICSE, CBSE, and ISC students in India, UAE, KSA, Oman, Qatar, and Bahrain. Our platform connects students with the best teachers to ensure personalized guidance and student-centric teaching in the comfort of their homes. Role Description This is a full-time role for a Marketing Manager at The TuitionE. The Marketing Manager will be responsible for developing and implementing marketing strategies, managing social media campaigns, creating promotional materials, analyzing market trends, and conducting competitor research. What You'll Do: Bachelor's degree in Marketing, Communications, Business, or related field Paid Acquisition: Strategize, build, and optimize performance marketing campaigns across Google Ads (Search, PMax, YouTube) and Meta Ads (Lead Gen, Conversions) to generate a consistent flow of high-quality leads at a target Cost Per Acquisition (CAC). SEO Strategy: Develop and execute a comprehensive SEO plan covering technical, on-page, and off-page initiatives. Your goal will be to significantly increase organic visibility and traffic for key grade levels, subjects, and curricula. Full-Funnel Analytics & Reporting: Own our marketing analytics stack (GA4, GTM) to track, measure, and report on the entire parent journey. You'll build dashboards to monitor key metrics like Lead-to-Enrollment rates, CAC, and LTV by channel. Conversion & Lifecycle Marketing: Implement and refine marketing automation workflows (Email, SMS, WhatsApp) to nurture leads, improve conversion rates, and ensure a seamless experience for parents from their first inquiry to booking a trial. Experimentation & Optimization: Lead a culture of continuous testing. You'll systematically run A/B tests on ad creatives, landing pages, lead forms, and audience segments to consistently improve campaign performance. What You will Bring (Qualification): Bachelor's degree in Marketing, Communications, Business, or related field 8-10+years in a B2C performance or growth marketing role, with a strong preference for experience in EdTech, online learning, tutoring, or family-oriented subscription businesses. Paid Media Expertise: Proven, hands-on mastery of Google Ads and Meta Ads platforms, including campaign setup, audience strategy, bid management, and creative optimization. SEO Foundations: A solid understanding of the core pillars of SEO (technical, on-page, off-page) and a track record of contributing to organic growth. Analytical Skills: Proficiency with Google Analytics (GA4), Google Tag Manager, and using data to derive actionable insights. You are comfortable living in spreadsheets and performance dashboards. Tech-Savvy: Experience integrating advertising leads with a CRM (e.g., HubSpot, Zoho, Salesforce) and familiarity with marketing automation principles. Parent-Centric Communication: Excellent written and verbal communication skills in English, with an ability to craft messaging that resonates with and builds trust with parents. Bonus Points : Google Ads and/or Meta Blueprint certifications. Hands-on experience with advanced technical SEO (e.g., schema markup, site speed optimization). Experience with international SEO for multiple regions or languages. Intermediate data skills (e.g., basic SQL, BI tools like Looker Studio/Tableau). Experience with Canva Design. Familiarity with server-side tagging (sGTM), Conversion APIs, or CDPs. Experience leveraging the WhatsApp Business API for conversational marketing. What you will get: CTC - 4-6 LPA (based on experience) Performance based incentive (1-4 LPA) Exposure to International Market Opportunity to grow with company

Job Description Job Title: Data Analyst Location: Bangalore, India Function: Information Technology Position Type: Full-Time Xactly Corporation was founded to solve an important challenge: how to help people everywhere connect and unleash their human potential through seamless, perfectly aligned Sales Performance Management. Xactly’s comprehensive Sales Performance Management (SPM) suite leverages data from a sales performance AI platform to provide timely insights across the entire SPM value chain, from sales planning to execution, including compensation to optimization. Xactly takes Sales Performance Management from a dark art to a science, providing decision-makers with the data insights they need to tap the motivational power of their incentive compensation. With access to predictive analytics and benchmark data, enterprises can now optimize territories, design the right compensation and incentive plans and accelerate attainment and optimization of sales performance. THE OPPORTUNITY We count on our IT team to work in close alignment with all internal business units to provide excellent IT support and solutions to our global user community. As the Data Analyst for Xactly, you will be responsible for translating operating metrics into actionable insights. You will work directly with the Business Systems Team and various departmental teams to complete data projects from start to finish. You will be responsible for building scalable solutions for the data warehouse, data pipeline, modeling, reporting and visualizations. It is critical that this person understands business intelligence as it relates to data architecture within a data warehouse. It is equally critical that this position has a strong understanding of advanced SQL and data visualization best practices. The technology landscape is evolving, and the person in this role participates in technical research and development to enable innovation. They will ensure that best practices are taken in data governance, and related procedures adhere to the Vision of Xactly. You will also take on projects and be responsible for all phases, including definition, analysis, design, build, testing and change management. At Xactly, we believe everyone has a unique story to tell, and these small differences between us have a big impact. When bright, diverse minds come together, we’re challenged to think different ways, generate creative ideas, be more innovative, and take on new perspectives. Our customers come from different cultures and walks of life all around the world, and we believe our teams should reflect that to build strong and lasting relationships. THE TEAM Xactly’s IT team is a tight-knit global team, looking to expand our capabilities and add efficiencies to processes. We are always looking for individuals with diverse backgrounds, the hunger to achieve, and the openness to learn new ways of solving problems. Our team’s goal is to set our internal customers up for success by providing a means to directly impact the bottom line of the business. THE SKILL SET 3+ years of experience in developing BI solutions (data integration, analytics, reporting) Expert SQL skills. Python skills are a plus. Experience using a cloud based data warehouse (Snowflake) a plus Experience in designing BI visualization platforms (Tableau, PowerBI, Looker, etc) Strong analytical and problem-solving skills, with the ability to translate data into actionable recommendations. Customer service mentality, with prompt attention to support tickets Demonstrated ability to work on multiple parallel projects Ability to work cross-functionally within an organization, to understand requirements and use cases Experience analyzing large amounts of data from multiple systems High degree of personal integrity and professionalism, and can work effectively with minimal supervision in a collaborative environment Bachelor’s degree or equivalent Excellent time management, communication, and organizational skills Able to adapt to a constantly changing environment WITHIN ONE MONTH, YOU’LL Develop a working relationship with the assigned Xactly Business Systems team Work with the IT team to learn the systems we use, and policies and procedures Explore the data warehouse and become familiar with the existing data structure Become familiar with existing business systems, data models, visualizations, and use cases WITHIN THREE MONTHS, YOU’LL Become comfortable with existing business systems and analytics Work with the Business Systems team on project planning and scope exercises Begin developing data visualizations from existing data sets WITHIN SIX MONTHS, YOU’LL Build, validate, and publish new reporting dashboards Ensure best practices are in place for new and existing data use cases Become an expert on existing business systems, KPIs, and the roadmap for future analytics THE XACTLY STORY Xactly is a leading provider of enterprise-class, cloud-based, incentive compensation solutions for employee and sales performance management. We achieve this by following our vision: Unleashing human potential to maximize company performance. We address a critical business need: to incentivize employees and align their behaviors with company goals. Our solutions allow organizations to make better strategic decisions, optimize behaviors, increase sales and employee performance, improve margins, increase operational efficiencies, mitigate risk, design better incentive compensation plans, and reduce error rates in incentive compensation calculations. Our core values of Customer Focus | Accountability | Respect | Excellence are key to our success, and each day we’re committed to upholding them by delivering the best we can to our customers. We were the first 100% cloud-based, multi-tenant provider focusing solely on the incentive compensation and employee and sales performance management market, and we achieved our leadership position through domain expertise and innovative technology. We deliver our solutions through a Software-as-a-Service (SaaS) business model. Xactly is proud to be an Equal Opportunity Employer. Xactly provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.

Overview The Visualization & Storytelling (Analytics) Engineer is responsible for transforming complex data into compelling visual narratives that drive decision-making and communicate insights effectively. This role combines expertise in data analytics, visualization tools, and storytelling to create impactful dashboards, reports, and presentations that resonate with diverse stakeholders. Responsibilities Data Visualization Development: Design and develop interactive dashboards, charts, and visualizations using tools like Tableau, Power BI, Looker, or D3.js to present data insights clearly and effectively. Storytelling with Data: Craft data-driven narratives that translate complex analytical findings into actionable insights for technical and non-technical audiences. Data Analysis: Collaborate with data analysts and scientists to extract, clean, and analyze data from various sources to uncover trends, patterns, and insights. Stakeholder Collaboration: Work closely with business units, product managers, and executives to understand requirements, define KPIs, and tailor visualizations to meet their needs. Tool & Technology Integration: Leverage programming languages (e.g., Python, R, SQL) and visualization libraries (e.g., Matplotlib, Seaborn, Plotly) to build custom visualizations and automate workflows. Requirements Tableau, Power BI, Python (matplotlib, seaborn, plotly), flask, streamlit, others. This is a crucial role to make data (not necessarily models) consumable. You could also put the UI elements here or assign those roles to UI development roles in house.

The Opportunity Avantor is looking for a strategic, data-savvy Paid Social Strategist to lead the planning, execution, and optimization of paid social campaigns that support brand awareness, demand generation, and customer acquisition across key channels—including Meta, LinkedIn, TikTok, Pinterest, and emerging platforms. As a core member of the Digital Advertising team, you will partner cross-functionally to develop and execute performance-driven strategies aligned with broader marketing goals. This role goes beyond campaign setup: they will own media planning, targeting strategy, testing frameworks, and platform performance insights, contributing to long-term growth and multi-channel alignment. You’ll work closely with Creative, Analytics, and Content Strategy to ensure paid social campaigns are not only well-executed but also aligned to lifecycle, funnel stage, and business KPIs. What We’re Looking For Education: Any Bachelor's/Master’s Degree Experience: 3–5+ years of experience in paid social advertising, performance marketing, or media strategy with demonstrated ownership of campaign strategy and optimization. Preferred Qualifications Deep expertise with Meta Ads Manager, LinkedIn Campaign Manager, TikTok Ads Manager, and emerging social platforms. Proven track record of improving campaign performance through data-driven audience targeting, creative testing, and cross-channel alignment. Strong analytical skills with proficiency in Excel, Looker Studio, Power BI, or similar platforms for campaign analysis and reporting. Solid understanding of paid media metrics (CTR, CPA, ROAS, CVR, CPL), attribution models, and performance benchmarks. Ability to manage multiple priorities, stakeholders, and campaigns in a fast-paced environment with minimal oversight. Experience with eCommerce, B2B demand gen, or full-funnel performance strategies. Familiarity with tracking frameworks, including pixel management, tag managers, UTMs, and cookie-based targeting. Exposure to multi-channel campaign coordination across programmatic, paid search, or display advertising. Experience using project management tools (e.g., Asana, Workfront, Trello) to manage campaign timelines and collaboration workflows. How Will You Thrive And Create An Impact Campaign Strategy & Execution Develop and execute paid social strategies that align with business objectives, campaign goals, and audience segments across Meta, LinkedIn, TikTok, and other platforms. Build and manage paid social campaigns end-to-end, including audience targeting, budget pacing, creative mapping, bid strategy, and ad set architecture. Implement A/B and multivariate testing strategies for creative, copy, call-to-action, and audience segments, capturing insights to continuously refine campaign effectiveness. Audience Strategy & Lifecycle Targeting Define and manage audience segmentation frameworks, ensuring targeting strategies are aligned to lifecycle stages (awareness, consideration, decision, retention). Leverage platform data, CRM insights, and third-party audiences to inform lookalike modeling, retargeting logic, and exclusion strategies. Partner with Lifecycle Marketing and Web teams to align landing experiences and nurture flows with paid social efforts. Optimization & Performance Analytics Monitor campaign performance across platforms using tools like Meta Ads Manager, LinkedIn Campaign Manager, and TikTok Ads Manager, optimizing based on key metrics (CTR, CPC, ROAS, CPA, CVR). Build detailed performance dashboards and executive summaries using Looker Studio, Power BI, or Excel, surfacing actionable insights and campaign trends. Drive insights-to-action workflows by contributing strategic recommendations to future planning, creative direction, and budget allocation. Cross-Functional Collaboration Partner with Creative, Brand, Content Strategy, and Product Marketing to align creative assets with campaign goals and platform-specific best practices. Brief internal and external creative teams on ad formats, content hooks, and testing needs—ensuring consistency across campaigns and audiences. Work closely with Analytics and MarTech teams to validate tracking, UTM structure, event setup, and attribution accuracy. Market & Platform Research Stay current on platform updates, algorithm shifts, new ad formats, and emerging paid social trends. Conduct competitor benchmarking and landscape research to refine media plans, uncover growth opportunities, and evolve creative strategy. Identify and recommend opportunities to expand into new social ad platforms or integrations based on business growth areas. Check the material validity and price effectiveness in SAP Generate quotes upon Accounts Managers’ or customers’ requests in SAP Enter valid orders to initiate product shipment Working with supply chain to make sure goods arrival to meet customer’s required delivery date Contact with customer to make sure the valid certificates for chemical goods or DGs Manage orders to ensure complete and on time delivery Create on time invoices upon delivery or completion of installation Manage returned and defective products to Logistic Centers and provide credits to customers Contribute to continuous quality improvements to ensure business compliance Take ownership of customers’ issues and resolutions Ensures highest level of customer satisfaction (internal and external) Disclaimer The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor? Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 3rd Party Non-solicitation Policy By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation