3 Data marts Jobs in India

Roles and Responsibilities for Product Owner / Data Solution Specialist

Role purpose

Own and drive the business and data requirements for assigned workstreams, translating business needs into clear, actionable requirements for architecture, modelling, engineering and reporting teams, while coordinating the relevant business and technology SMEs through design, validation and sign-off.

Key responsibilities

• Drive requirements and scope definition for the assigned data product/workstream and maintain clear traceability through design and delivery.

• Identify and coordinate regional and in-market business owners/working teams required to validate requirements and make decisions.

• Translate business requirements into data requirements, including critical data elements, KPIs, dimensions, source-data needs and derived-field/business logic.

• Work closely with Market IT, Business Data Architects, Data Modellers and Data Engineers to understand source systems and support mapping of source attributes into the target data model. The PO is expected to orchestrate this activity, not replace the relevant technical SMEs.

• Facilitate validation of mapped and unmapped data requirements, default values, consolidation/business rules and target-model requirements with business stakeholders.

• Provide business inputs into data-model, data-mart and reporting/dashboard design, including wireframes where relevant.

• Drive stakeholder reviews, requirement/design decisions and formal business sign-offs. 

• Support delivery iteratively. Where requirements are substantially understood, progress agreed tranches rather than waiting for every outstanding item before engineering begins.

• Work alongside the Project Manager on dependencies, decisions and stakeholder mobilisation; project capacity management and overall programme coordination remain PM responsibilities.

Experience/profile required

• 7+ yrs of strong hands-on Product Owner, Business Analyst or Data Solution Specialist experience in enterprise data programmes.

• Demonstrable data-mart / data-warehouse delivery experience and ability to work across source-to-target mapping, business rules, data models and reporting requirements.

• Strong commercial insurance data knowledge is highly desirable, particularly policy, product, underwriting and financial dimensions. Reinsurance experience would be advantageous for relevant workstreams.

• Comfortable working across business, Market IT, architecture, data modelling, engineering and BI teams.

• Able to challenge requirements, structure ambiguity, drive decisions and obtain stakeholder sign-off rather than acting solely as a requirements coordinator.

• Strong communication and stakeholder-management skills across regional and market teams.

• Strong problem-solving abilities with an emphasis on data-driven decision-making 

Interested candidates can share their cv at dipaliattheratebeanhr.com

About Us

We are a high-growth startup building products at scale that impact millions of users daily. As we prepare for the next phase of growth, data will be at the heart of every decision — powering product, marketing, operations, and finance. We are looking for a Director of Analytics to lead the charge in shaping our data strategy, building scalable infrastructure, and creating a high-performing analytics organization.

Role & Responsibilities

As the Director of Analytics, you will:

• Lead the next generation of our Data Mart: Redesign and optimize data models to support large-scale analytics and faster decision-making.
• Define the tools & frameworks for data creation, transformation, and consumption across the company.
• Build unified data views: Integrate behavioral and transactional data into structured, query-optimized flat tables that support diverse analytics use cases.
• Own analytics across mobile, web, marketing, product, and operations data streams, ensuring consistent data definitions and scalability.
• Partner with product, marketing, CRM, operations, and finance teams to ensure data is democratized and actionable.
• Establish data governance, quality standards, and best practices for the org.
• Drive adoption of self-service analytics and empower teams with the right dashboards, reporting, and insights.
• Introduce and scale ML-driven insights: Collaborate with product and engineering to enable use cases like personalization, predictive modeling, and anomaly detection.
• Build and mentor a cross-functional analytics team spanning business/operations analytics, marketing/CRM analytics, and product/finance analytics.
• Partner with engineering leadership to ensure scalability, reliability, and efficiency of the data infrastructure.

What We’re Looking For

• Experience: 8+ years in data & analytics leadership, with proven success in building data marts and defining enterprise-wide data consumption strategies.
• Strong track record of running analytics across mobile, web, marketing, product, and operations data ecosystems.
• Deep technical expertise in data modeling, flat table structures, and query optimization for large-scale systems.
• Hands-on experience with both behavioral and transactional data, and integrating them into a single analytics layer.
• Strong knowledge of modern data stack (SQL, ETL/ELT, cloud data warehouses like Snowflake/BigQuery/Redshift, BI tools like Looker/PowerBI/Tableau).
• ML Competency: Familiarity with machine learning workflows (data pipelines for ML, feature engineering, model monitoring) and ability to guide data scientists in building predictive/ML models.
• Proven ability to build and scale analytics teams, with experience in functions such as business/operations, marketing/CRM, and product/finance analytics.
• Strong business acumen — ability to translate data into actionable insights for growth, retention, and efficiency.
• Excellent stakeholder management and communication skills, comfortable influencing at the CXO level.

KPIs / Success Metrics

Success in this role will be measured by:

• Data Infrastructure & Scale
• Launch of next-gen data mart within defined timelines.
• Reduction in data processing and reporting times (e.g., <5 mins refresh for key dashboards).
• Uptime and reliability of data pipelines and consumption layers.
• Adoption & Impact
• % of org actively using self-service analytics tools.
• Increase in cross-team usage of standardized data views (product, marketing, finance, operations).
• Reduction in ad-hoc analytics requests due to robust self-service solutions.
• Data Quality & Governance
• % improvement in data accuracy and consistency across sources.
• Establishment and adoption of data governance frameworks.
• Team & Leadership
• Successful hiring and scaling of a multi-disciplinary analytics team.
• Retention and growth of top talent within the analytics function.

Why Join Us?

• Opportunity to own the analytics vision of a company that is scaling rapidly.
• Build the next-gen data mart and analytics layer from scratch — a rare chance to define the foundation for years to come.
• Work on high-volume, high-velocity data across mobile, web, marketing, product, and operations.
• High visibility role, directly collaborating with founders and leadership.
• Build a world-class analytics team and shape the culture of data-driven decision-making

JOB DETAILS:

* Job Title: Associate III - Data Engineering

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4-6 years

* Location: Trivandrum, Kochi

Job Description

Job Title:

Data Services Engineer – AWS & Snowflake

Job Summary:

As a Data Services Engineer, you will be responsible for designing, developing, and maintaining robust data solutions using AWS cloud services and Snowflake.

You will work closely with cross-functional teams to ensure data is accessible, secure, and optimized for performance.

Your role will involve implementing scalable data pipelines, managing data integration, and supporting analytics initiatives.

Responsibilities:

• Design and implement scalable and secure data pipelines on AWS and Snowflake (Star/Snowflake schema)

• Optimize query performance using clustering keys, materialized views, and caching

• Develop and maintain Snowflake data warehouses and data marts.

• Build and maintain ETL/ELT workflows using Snowflake-native features (Snowpipe, Streams, Tasks).

• Integrate Snowflake with cloud platforms (AWS, Azure, GCP) and third-party tools (Airflow, dbt, Informatica)

• Utilize Snowpark and Python/Java for complex transformations

• Implement RBAC, data masking, and row-level security.

• Optimize data storage and retrieval for performance and cost-efficiency.

• Collaborate with stakeholders to gather data requirements and deliver solutions.

• Ensure data quality, governance, and compliance with industry standards.

• Monitor, troubleshoot, and resolve data pipeline and performance issues.

• Document data architecture, processes, and best practices.

• Support data migration and integration from various sources.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• 3 to 4 years of hands-on experience in data engineering or data services.

• Proven experience with AWS data services (e.g., S3, Glue, Redshift, Lambda).

• Strong expertise in Snowflake architecture, development, and optimization.

• Proficiency in SQL and Python for data manipulation and scripting.

• Solid understanding of ETL/ELT processes and data modeling.

• Experience with data integration tools and orchestration frameworks.

• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• AWS Glue, AWS Lambda, Amazon Redshift

• Snowflake Data Warehouse

• SQL & Python

Skills: Aws Lambda, AWS Glue, Amazon Redshift, Snowflake Data Warehouse

Must-Haves

AWS data services (4-6 years), Snowflake architecture (4-6 years), SQL (proficient), Python (proficient), ETL/ELT processes (solid understanding)

Skills: AWS, AWS lambda, Snowflake, Data engineering, Snowpipe, Data integration tools, orchestration framework

Relevant 4 - 6 Years

python is mandatory

******

Notice period - 0 to 15 days only (Feb joiners’ profiles only)

Location: Kochi

F2F Interview 7th Feb