Senior BI Engineering at Mumzworld Ā· Bengaluru (Bangalore) Ā· 3 - 7 years Ā· $24K - $42K / yr Ā· Profitable Ā· Posted 22 Oct 2025

Senior BI Engineer
š Location: BHive Bangalore, India
š¼ Department: Technology ā Data
š Experience Level: Senior
About the Role
Mumzworld is scaling fast, and data is central to our success.
We are looking for a Senior BI Analyst to join our data team and help drive business insights, storytelling, and decision-making through high-quality analytics and reporting.
This is a high-impact role, reporting directly to the Head of Data, and working cross-functionally with business teams, product managers, and engineers to transform data into actionable intelligence.
You will not only deliver robust dashboards and deep-dive analyses but also help define metrics, improve data literacy across the company, and ensure that our analytics layer is consistent, trusted, and scalable.
You will also leverage Generative AI tools to boost productivity, streamline reporting workflows, and enhance collaboration.
Key Responsibilities
- Deliver Impactful Insights
Build, maintain, and optimize dashboards, reports, and deep-dive analyses to support critical business decisions.
- Create Impact Dashboards with Storytelling
Design dashboards that not only show data but tell a clear story ā highlighting insights, business implications, and actions.
- Define and Standardize Metrics
Work closely with stakeholders to define KPIs and ensure consistency in metrics across business domains.
- Model for Analytics Needs
Collaborate with data engineers and modelers to ensure data structures (in bronze, silver, gold layers) are optimized for reporting and analytical needs following medallion architecture principles.
- Drive Business Conversations
Translate business questions into clear analytical deliverables; turn data findings into actionable insights and business narratives.
- Ensure Data Quality & Trust
Validate data accuracy and drive initiatives to improve data reliability across all reports and dashboards.
- Leverage Gen AI for Productivity
Promote the use of Generative AI tools to accelerate report building, automate documentation, and summarize insights faster.
- Advance Data-Driven Culture
Conduct workshops, share knowledge, and uplift the organizationās data literacy and self-service capabilities.
- Support Data Science Projects
Partner with the data science team to ensure BI foundations support predictive models, experimentation, and advanced analytics initiatives.
What Weāre Looking For
- 5+ years of experience in business intelligence, data analysis, or analytics roles.
- Expertise in BI tools like Looker, Power BI, or Tableau.
- Strong SQL skills to extract, transform, and analyze large datasets.
- Solid understanding of data modeling principles (especially star schema and medallion architecture).
- Understanding of incremental load vs full load strategies, and a passion for building your own scheduled queries and data refreshes.
- Experience working with cloud data warehouses like BigQuery or Snowflake.
- Strong business acumen with the ability to translate data into business value.
- Experience building self-service datasets, semantic layers, or LookML models is a plus.
- Excellent communication skills ā able to present complex findings in a clear and actionable way.
Nice-to-Have
š E-commerce experience ā Familiarity with product, customer, and order data structures.
š¤ Experience with dbt Cloud and modern analytics stacks.
š Exposure to data governance, catalogs, or metadata management tools.
š„ļø Experience with GitHub for version control in analytics workflows.
š Understanding of privacy, GDPR, and data compliance best practices.
Who You Are ā Soft Skills & Personality
Weāre looking for a curious, business-savvy, and detail-driven BI analyst who thrives in a fast-paced, collaborative environment.
š¤ Structured & Organized ā You design with clarity, document your work well, and maintain consistency across reports and analyses.
š¬ Collaborative Communicator ā You work well with both technical and business stakeholders.
š Results-Oriented ā You focus on delivering impactful insights that drive business outcomes.
𧬠Analytical & Curious ā You dig deep into data, question assumptions, and continuously look for improvement opportunities.
š¤ Team Player ā You support, teach, and uplift others across the organization.
If youāre passionate about turning data into impact, scaling analytics, and building a data-driven culture, weād love to hear from you.

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Weāre looking for a dynamic and driven Data Analyst to join our team of technology enthusiasts. This role is crucial in transforming data into insights that support strategic decision-making and innovation within the insurance technology (InsurTech) space. If youāre passionate about working with data, understanding systems, and delivering value through analytics, weād love to hear from you.
What Weāre Looking For
- Proven experience working as a Data Analyst or in a similar analytical role
- 5+ Years of experience in the field
- Strong command of SQL for querying and manipulating relational databases
- Experience with Power BI for building impactful dashboards and reports
- Familiarity with QlikView and Qlik Sense is a plus
- Ability to communicate findings clearly to technical and non-technical stakeholders
- Knowledge of Python or R for data manipulation is nice to have
- Bachelorās degree in Computer Science, Statistics, Mathematics, Economics, or a related field
- Understanding of the insurance industry or InsurTech is a strong advantage
What Youāll Be Doing:
- Delivering timely and insightful reports to support strategic decision-making
- Working extensively with Policy Administration System (PAS) data to uncover patterns and trends
- Ensuring data accuracy and consistency across reports and systems
- Collaborating with clients, underwriters, and brokers to translate business needs into data solutions
- Organizing and structuring datasets, contributing to data engineering workflows and pipelines
- Producing analytics to support business development and market strategy
Data Engineer
Experience - 5+ years
6-7 LPA
Remote
Duration: 1 month contract (We can take as a tentative, It can be extended)
Scope: Subscriber Activation, Churn, FTE and future reporting requirements, with BigQuery as the centralized data warehouse and Power BI as the proposed reporting layer.
Key Skills:
Strong hands-on experience with GCP & BigQuery
Data warehouse architecture, design and implementation
Data ingestion/integration across multiple source systems
ETL/ELT and data pipeline development
Data modelling for reporting and analytics
Experience integrating BigQuery with Power BI or similar reporting tools
Immediate Joining
We are looking for a Dedicated Resource on Contract for ā
Role: Data Engineer
Experience: 5+ Years
Location: Remote
Duration: 3+ Months
Strong hands-on experience with Snowflake, including writing SQL queries, creating views, stored procedures, and functions.
Good knowledge of AI tools such as Claude.
Experience with ETL tools like Alteryx is good to have.
Power BI experience is good to have.
Strong communication skills.

Job Title: Senior Data Engineer
Position Summary
We are seeking a highly skilled Data Engineer with strong expertise in reporting infrastructure, data modeling, and analytics platforms. This role will focus on building scalable reporting solutions, optimizing data pipelines, and enabling data-driven decision-making across the organization. The ideal candidate will have deep experience with databases, data warehousing, and complex query development. While Ruby on Rails experience is beneficial, the primary emphasis is on data engineering and reporting systems.
Key Responsibilities
- Design, develop, and maintain reporting infrastructure and data platforms.
- Build and optimize complex SQL queries, data models, and reporting datasets.
- Develop scalable ETL/ELT pipelines and data integration processes.
- Design and maintain database schemas to support analytics and reporting requirements.
- Collaborate with business stakeholders to understand reporting needs and translate them into technical solutions.
- Implement data quality, governance, and performance best practices.
- Support and enhance enterprise reporting solutions and dashboards.
- Work with large-scale datasets in cloud data warehouse environments.
- Troubleshoot reporting issues and optimize database performance.
- Partner with engineering and product teams to establish sustainable data architecture.
Must Have: Technical Skills
- PostgreSQL
- Snowflake
- Advanced SQL
- Data Modeling
- Data Warehousing
- Reporting & Analytics Infrastructure
- ETL/ELT Development
- Query Performance Tuning
Success Profile:
The ideal candidate is a data-focused engineer who enjoys working with complex datasets, designing scalable reporting solutions, and building foundational infrastructure that empowers analytics and business intelligence teams. They should be comfortable navigating databases, optimizing queries, and translating business reporting needs into robust technical implementations.
Experience Range: 5-10 years
Role Type: Individual Contributor / Senior Engineer
Primary Focus: Reporting Infrastructure, Data Engineering, Data Warehousing, and Analytics Enablement.
Business Intelligence Analyst - 2
Ā
Planview is the world leader in enterprise software planning for enterprise-wide deployment strategies, processes and resources. More than 4000 customers, among the world's largest and most respected companies, have successfully implemented Planview software to optimize their enterprise portfolio management, project, portfolio and resource management, business intelligence and expense tracking processes. We have had stable, organic growth for years and now need reinforcement.
Job Summary:
The Planview BI Team is seeking an experienced Business Intelligence Analyst ā 2 to support, troubleshoot, optimize, and enhance business intelligence and reporting solutions built on Planview products.
This role focuses on advanced BI support across Power BI, Microsoft Fabric, SQL Server, SSAS, SSRS, OData, Dataflows, Data Pipelines, Data warehousing, and Data models. The BI Analyst ā 2 will handle complex technical issues, perform advanced root-cause analysis and performance tuning, and work closely with customers and internal teams to deliver scalable BI solutions.
Ā
Key Responsibilities:
Ā
Ā· Troubleshoot and resolve complex issues involving data accuracy, refresh failures, report behavior, connectivity, security, and performance across Power BI, SSRS, SSAS, SQL Server, OData, and Data warehousing layers.
Ā· Perform advanced T-SQL development and performance tuning, including execution plans, indexing, query optimization, stored procedures, views, and complex queries.
Ā· Support, develop, maintain, and optimize Power BI semantic models, DAX measures, Power Query, datasets, workspaces, gateways, refreshes, and Row-Level Security.
Ā· Support and troubleshoot SSAS Tabular and Multidimensional models, including processing, calculations, relationships, security, and performance.
Ā· Develop and troubleshoot advanced SSRS/paginated reports, including parameters, subreports, drill-through, expressions, pagination, subscriptions, and export formats.
Ā· Support Microsoft Fabric solutions including Data Pipelines, Dataflows Gen2, Lakehouse/Warehouse, semantic models, and Power BI integration.
Ā· Troubleshoot ETL/ELT processes, data pipelines, Dataflows, refresh failures, and data transformation issues across BI environments.
Ā· Analyze and troubleshoot OData feeds, including filtering, pagination, refresh, connectivity, and large-volume data scenarios.
Ā· Support Planview Automart, Datamart, and data warehouse implementations and ensure data consistency across source, warehouse, semantic, and reporting layers.
Ā· Perform end-to-end root-cause analysis and performance optimization across the BI technology stack.
Ā·Ā Collaborate with customers, Product, Engineering, Hosting, and Support teams on complex technical issues and escalations.
Ā· Provide technical guidance and mentoring to BI Analyst ā 1 team members and contribute to BI best practices and documentation.
Ā
Required Skills & Qualifications:
Ā·Ā Ā Ā Ā Ā Ā 5+ years of professional experience in Business Intelligence Development, BI Support, Data Analytics, or a related field.
Ā·Ā Ā Ā Ā Ā Ā Strong hands-on experience with Power BI, DAX, Power Query, and enterprise data modeling.
Ā·Ā Ā Ā Ā Ā Ā Advanced knowledge of SQL Server and T-SQL, including query optimization and performance tuning.
Ā·Ā Ā Ā Ā Ā Ā Strong experience with SSRS and enterprise reporting.
Ā·Ā Ā Ā Ā Ā Ā Experience with SSAS Tabular and/or Multidimensional models.
Ā·Ā Ā Ā Ā Ā Ā Experience with Microsoft Fabric, particularly Data Pipelines, Dataflows, Lakehouse/Warehouse, and Power BI.
Ā·Ā Ā Ā Ā Ā Ā Experience working with OData and enterprise data integration.
Ā·Ā Ā Ā Ā Ā Ā Strong understanding of Data Warehousing, Datamarts, Automart, ETL/ELT, and data modeling.
Ā·Ā Ā Ā Ā Ā Ā Experience troubleshooting Power BI Service, gateways, refreshes, security, and semantic models.
Ā·Ā Ā Ā Ā Ā Ā Strong analytical, troubleshooting, and root-cause analysis skills.
Ā·Ā Ā Ā Ā Ā Ā Proven ability to work directly with customers and communicate technical concepts to both technical and non-technical stakeholders.
Ā·Ā Ā Ā Ā Ā Ā Experience with tools such as DAX Studio, Tabular Editor, Performance Analyzer, Query Store, or SQL Profiler is an advantage.
- Relevant Microsoft certifications such as PL-300, DP-600, or DP-203 are an added advantage.
Job Summary
We are seeking a skilled and detail-oriented Power BI Developer to design, develop, and maintain enterprise-level BI solutions. The ideal candidate should have strong expertise in Power BI, DAX, SQL, Data Modeling, and performance optimization tools such as DAX Studio, Tabular Editor, and ALM Toolkit. The candidate will collaborate with business stakeholders to transform data into actionable insights and deliver high-quality dashboards and reports.
Key Responsibilities
- Design, develop, and maintain interactive Power BI dashboards and reports.
- Create complex DAX measures, calculated columns, and calculated tables to meet business requirements.
- Develop and optimize SQL queries, stored procedures, views, and ETL processes.
- Design and implement scalable Star Schema and Snowflake Data Models.
- Perform report and model performance tuning using DAX Studio.
- Utilize Tabular Editor for model management, calculation groups, best practice analysis, and metadata enhancements.
- Manage model deployment, comparison, and version control using ALM Toolkit.
- Configure and manage Power BI Workspaces, Apps, Gateways, and Security (RLS/OLS).
- Work extensively with Power BI Service/Web Experience, including dataset refresh schedules, deployment pipelines, subscriptions, and workspace administration.
- Collaborate with business users to gather and analyze reporting requirements.
- Ensure data accuracy, governance, security, and report performance.
- Troubleshoot data-related issues and implement effective solutions.
- Create technical documentation and provide knowledge transfer to support teams.
Required Skills
Technical Skills
- Strong experience in Microsoft Power BI Development.
- Expertise in DAX (Data Analysis Expressions).
- Advanced knowledge of SQL Server/T-SQL and query optimization.
- Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables).
- Hands-on experience with Tabular Editor.
- Experience using DAX Studio for model and query performance tuning.
- Experience with ALM Toolkit for model comparison and deployment.
- Strong understanding of Power BI Service/Web Experience.
- Knowledge of Power Query (M Language).
- Experience with Row-Level Security (RLS) and data governance.
- Understanding of data warehousing and ETL concepts.
Data Engineer ā Contract Opportunity
We are looking for an experienced Data Engineer with 5+ years of experience to work on subscriber activation, churn, FTE, and future reporting requirements.
Key Responsibilities:
- Work on data requirements related to Subscriber Activation, Churn, FTE, and future reporting.
- Work with BigQuery as the centralized data warehouse.
- Develop and maintain data ingestion and integration pipelines across multiple source systems.
- Design and implement ETL/ELT processes.
- Develop data models for reporting and analytics.
- Integrate BigQuery with Power BI or similar reporting tools.
Required Skills:
- Strong hands-on experience with GCP & BigQuery
- Data warehouse architecture, design, and implementation
- Data ingestion/integration across multiple source systems
- ETL/ELT and data pipeline development
- Data modelling for reporting and analytics
- Experience integrating BigQuery with Power BI or similar reporting tools
Contract: 1 month initially, with potential extension
Compensation: ā¹6ā7 LPA
Work Mode: Remote
Important
Since this is only a 1-month contract, mention āPotential extensionā rather than saying it will definitely be extended.
We are looking for a dynamic Data Engineer to join our team of technology enthusiasts. You will leverage data to drive strategic decision-making and pioneering solutions, working with complex datasets, collaborating closely with stakeholders, and transforming data into actionable insights to drive innovation.
Qualifications and Skills:
- Minimum 5 years of experience as a Data Engineer
- Hands-on experience with Azure cloud-based data solutions
- Expertise in database design and management, including SQL databases such as SQL Server
- Proficient in ETL (Extract, Transform, Load) design for data integration and processing
- Strong knowledge of data modeling principles and techniques
- Ability to analyze and translate data into actionable insights, reports, and visualizations
- Proficiency in Power BI for reporting and data visualization
Desirable Skills:
- Experience with Power BI Report Builder / Reporting Services
- Knowledge of statistical analysis or Data Science
- Experience within the UK Insurance industry is a plus
- Python or R coding skills
Responsibilities:
- Implement efficient data exchange between internal and external systems to increase efficiency and reduce re-keying and translation errors
- Support the Broking business by developing high-quality information resources, ensuring data availability and accessibility for decision-making
- Engineer data inputs and outputs from core applications and semi-structured remote service data through data syncs between data lake, ODS (SQL database), and leveraging Fabric and ADF
- Perform data engineering tasks including ingestion, cleansing, and collation from a wide range of internal and external sources
- Implement different methods of streaming data and create reconciliations for datasets
- Build analytical models to support reporting and analytics
- Collaborate with an agile delivery team to work on the backlog of specified work
At Nineleaps, we work on bleeding-edge technology with class-leading engineering practices on products that touch the lives of millions of users. We endeavor on doing things the right way, while also promoting a culture of excellence.
About the Role:
We are looking for a Data Analyst with strong analytical and problem-solving skills to transform complex data into meaningful, actionable business insights. The role involves working with large datasets, conducting deep-dive analysis, driving automation, and supporting data-driven product and business decisions.
Key Responsibilities:
- Analyse historical and large datasets to understand data sources, identify trends and patterns, and uncover meaningful insights.
- Write complex SQL queries and leverage Python to perform data analysis, ad hoc investigations, and solve business problems.
- Create reports and translate analytical findings into clear, concise, and actionable recommendations for stakeholders.
- Identify opportunities to drive automation and process improvements, improving efficiency and reducing manual effort.
- Communicate data-driven insights effectively to both technical and non-technical stakeholders in a clear and impactful manner.
- Maintain accurate documentation, ensure high-quality deliverables, and consistently meet defined timelines.
Requirements:
- 3ā6 years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar analytical role.
- Strong hands-on expertise in Python and advanced SQL, with the ability to work with and analyse large datasets.
- Experience working with Google Sheets, and implementing automation through data pipelines or workflows.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
- Excellent communication skills with the ability to effectively present methods, results, and recommendations to stakeholders.
- Ability to collaborate effectively with remote and geographically distributed teams across different time zones.
Company Link: https://www.nineleaps.com/
Company LinkedIn: https://www.linkedin.com/company/nineleaps/
šØ Hiring: MicroStrategy Developer
We are looking for an experienced MicroStrategy Developer for a 6-month contract opportunity.
š Role: MicroStrategy Developer
š¼ Experience: 5+ Years
š Location: Bangalore / Hyderabad / Mumbai / Delhi
š¢ Work Mode: Onsite
š Contract: 6 Months
Key Requirements:
⢠5+ years of hands-on MicroStrategy experience
⢠Strong experience in MicroStrategy development
⢠Strong SQL skills
⢠Experience in BI reporting and dashboard development
⢠Experience with data warehousing and analytics
⢠Ability to understand business requirements and develop reporting solutions
⢠Experience in troubleshooting and supporting MicroStrategy applications
Interested candidates can apply with their updated resume.










