- Design, develop, and maintain Power BI reports, dashboards, and visualizations based on business and analytical requirements.
- Transform business requirements into meaningful and user-friendly BI solutions.
- Develop appropriate measures, calculations, filters, and visualizations to support business analysis.
- Ensure Power BI reports provide accurate, relevant, and actionable insights.
- Work with stakeholders to understand reporting requirements and refine dashboards based on feedback.
- Develop complex SQL queries to extract, transform, analyze, and validate business data.
- Work with Databricks SQL to query and analyze data stored within a lakehouse environment.
- Develop queries against large datasets while maintaining accuracy and performance.
- Validate data used in Power BI reports and analytical outputs.
- Collaborate with Data Engineers to understand underlying data structures and resolve data-quality or data-availability issues.
- Analyze business and operational data to identify trends, patterns, anomalies, and meaningful insights.
- Conduct exploratory analysis to answer business questions and support decision-making.
- Translate analytical results into clear conclusions and recommendations.
- Prepare analytical write-ups that explain findings in business-friendly, non-technical language.
- Present data-driven findings to stakeholders who may not have a technical or data background.
- Ensure analytical outputs clearly communicate the business relevance and implications of findings.
- Analyze engineering and software delivery data to identify trends and opportunities for improvement.
- Develop reporting and analytical views around engineering productivity and delivery performance.
- Support analysis of development and delivery metrics across teams and projects.
- Work with engineering stakeholders to understand the context behind metrics and translate findings into actionable insights.
- Collaborate with business, engineering, product, delivery, and data teams.
- Gather analytical and reporting requirements from stakeholders.
- Explain data findings and trends clearly to both technical and non-technical audiences.
- Support stakeholders in interpreting dashboards and analytical outputs.
- Document analytical approaches, findings, assumptions, and recommendations.
- Strong hands-on experience as a BI Developer, Analytics Developer, or Data/BI Analyst.
- Strong experience developing Power BI reports and dashboards.
- Strong proficiency in SQL for data analysis and reporting.
- Hands-on experience with Databricks SQL.
- Experience querying data within a lakehouse environment.
- Ability to analyze large datasets and derive meaningful business insights.
- Strong analytical and problem-solving skills.
- Experience validating data and investigating discrepancies between source data and BI outputs.
- Strong written communication skills with the ability to create analytical write-ups for non-technical audiences.
- Ability to translate technical data analysis into clear business findings and recommendations.
- Strong communication and stakeholder-management skills.
- Experience analyzing engineering productivity or software delivery metrics.
- Familiarity with DORA metrics/frameworks or similar engineering performance frameworks.
- Experience analyzing metrics such as deployment frequency, lead time, delivery performance, change-related outcomes, and engineering workflow trends.
- Hands-on experience using Databricks notebooks for exploratory data analysis.
- Experience using Python or similar tools for exploratory analysis would be an added advantage.
- Experience working with engineering, DevOps, or software delivery teams.
- Exposure to Software Engineering Intelligence (SEI) or engineering productivity analytics platforms.
Skills Required
- Hands-on experience as a BI Developer, Analytics Developer, or Data/BI Analyst
- Strong experience developing Power BI reports and dashboards
- Strong proficiency in SQL for data analysis and reporting
- Hands-on experience with Databricks SQL
- Experience querying data within a lakehouse environment
- Ability to analyze large datasets and derive meaningful business insights
- Strong analytical and problem-solving skills
- Experience validating data and investigating discrepancies between source data and BI outputs
- Strong written communication skills, including analytical write-ups for non-technical audiences
- Ability to translate technical data analysis into clear business findings and recommendations
- Strong communication and stakeholder-management skills
- Experience analyzing engineering productivity or software delivery metrics
- Familiarity with DORA metrics or similar engineering performance frameworks
- Experience analyzing deployment frequency, lead time, delivery performance, change-related outcomes, and engineering workflow trends
- Hands-on experience using Databricks notebooks for exploratory data analysis
- Experience using Python or similar tools for exploratory analysis
- Experience working with engineering, DevOps, or software delivery teams
- Exposure to Software Engineering Intelligence or engineering productivity analytics platforms
What We Do
@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry
.jpeg)
