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Simform is seeking a Senior BI Analyst to design, develop, and maintain end-to-end BI solutions across client projects. You will work with data engineers, solution architects, and stakeholders to transform raw data into actionable insights.
The role requires mentoring peers and managing multiple projects, with flexibility for Ahmedabad or remote work. You will lead dashboards, optimize data models, and drive KPI definitions while aligning with HIPAA/privacy considerations as needed.
Job Title: Sr. Data Analyst
Experience:5 to 8 Years
Location: Ahmedabad/Remote
Job Type: Full Time
Department: Data Engineering
About Simform:
Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, AWS, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market.
Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow.
We are looking for a seasoned Senior BI Analyst to join our growing Data Analytics team. In this role, you will design, develop, and maintain end-to-end business intelligence solutions for diverse client projects. You will work closely with data engineers, solution architects, and business stakeholders to transform raw data into actionable insights. The ideal candidate is technically strong, comfortable working in US/UK shift hours, passionate about mentoring peers, and capable of managing responsibilities across multiple concurrent projects.
Design, develop, and publish interactive dashboards and reports using Power BI (mandatory) and other BI/reporting tools.
Build and optimize data models (star/snowflake schema) to support complex analytical use cases.
Write advanced DAX measures, calculated columns, and KPIs aligned to business requirements.
Integrate reports with multiple data sources including relational databases, data warehouses, APIs, and flat files.
Ensure report performance through query optimization, incremental refresh, and aggregation strategies.
Work hands-on within end-to-end data Engineering project lifecycle — ingestion, transformation, modelling, and visualization.
Collaborate with data engineers on pipeline design using tools such as Azure Data Factory, dbt, Databricks, or equivalent.
Write complex SQL queries for data extraction, profiling, cleansing, and validation across large datasets.
Understand and contribute to data warehouse/lake architecture decisions as a BI stakeholder.
Engineering Strategy & Measurement FrameworksLead client discussions to define KPIs, measurement frameworks, event structures, and success metrics aligned with business objectives.
Design event-driven measurement models, tagging architectures, and data-layer specifications.
Drive strategy for user behavior tracking, conversion optimization, funnel measurement, cohort analysis, and customer journey Engineering.
Privacy-Conscious & Healthcare-Friendly EngineeringImplement HIPAA-compliant and privacy-aware Engineering solutions.
Work with consent management platforms like OneTrust, Cookiebot, Termly, Freshpaint, Piwik PRO to ensure compliant tracking and data governance.
Support server-side tagging implementations and secure data collection practices.
Technical Troubleshooting & Data IntegrityTroubleshoot data discrepancies, broken pipelines, tagging issues, and tracking inconsistencies across web/app ecosystems.
Validate data between GTM/Tealium/Piwik PRO, Engineering platforms (GA4, Adobe, Amplitude), CRM systems, and BI reporting layers.
Gather and translate business requirements into scalable BI solutions for client projects.
Present dashboards and insights to both technical and non-technical stakeholders.
Manage expectations and communicate delivery timelines effectively across multiple simultaneous projects.
Provide user training, best practices, and business intelligence support to stakeholders.
Work in US/UK shift alignments to collaborate with global client teams and ensure timely delivery.
Actively mentor and upskill junior and mid-level BI analysts within the team.
Review dashboards and data models developed by juniors, providing structured feedback.
Contribute to internal knowledge repositories, best practices documentation, and BI standards.
Participate in team skill-building initiatives, demos, and internal training sessions.