Project-based engagement | 120–150 hours | 4–6 weeks
We are looking for an experienced Data Analyst / Power BI Specialist to support a project for one of our US-based clients in the education technology space.
The ideal candidate should be able to look at an existing reporting environment, understand what the business is trying to measure, whether the available data can answer those questions, what is missing, and what should be done next.
You should be comfortable moving between business discussions, data exploration, SQL, Power BI, and conversations with engineering teams.
The client has an existing data and reporting environment and needs an experienced data professional to help restore and improve their analytics capabilities, answer key business questions, and establish a clearer foundation for ongoing data-driven decision-making.
This is a short-term, part-time engagement focused on analytics, dashboards, metric definitions, data assessment, and recommendations.
- Review the client’s existing Power BI dashboards, reports, and data models and identify what is working, what needs to be restored, and what should be improved.
- Rebuild, fix, or enhance existing dashboards and visualizations where required.
- Work with stakeholders to understand their key business and data questions and translate them into measurable metrics and reports.
- Define and document key business metrics, including their calculation logic, data sources, and interpretation.
- Analyze available data and establish baseline findings across the key areas identified by the client.
- Identify data quality issues, inconsistencies, missing data, and data gaps that limit reporting or analysis.
- Assess whether the existing data sources and structures are sufficient to support the required reporting.
- Identify requirements that should be addressed by the engineering/data teams, including additional data collection, fields, events, integrations, or tracking.
- Recommend which metrics and data points the client should monitor going forward.
- Provide practical recommendations for improving the client’s analytics and reporting setup.
- Document findings, metric definitions, data gaps, and recommendations so the client can continue using and developing the analytics environment after the engagement.
Key Deliverables
By the end of the engagement, you are expected to provide:
- Restored / improved Power BI dashboards covering the agreed business areas.
- A documented metric/KPI definition framework.
- Baseline analysis and findings based on the available data.
- A clear overview of data gaps and data quality issues.
- A list of engineering/data tracking requirements needed to close identified gaps.
- Recommendations for the ongoing analytics and monitoring framework.
- Documentation that allows the client’s team to understand the dashboards, metrics, assumptions, and limitations.
- 3+ years of experience in Data Analytics / BI / Business Intelligence.
- Strong hands-on experience with Microsoft Power BI.
- Strong knowledge of Power Query and DAX.
- Experience working with data models, relationships, measures, and business metrics.
- Strong SQL skills and the ability to investigate data directly at the source.
- Experience analyzing data from multiple sources and identifying inconsistencies or gaps.
- Ability to translate ambiguous business questions into measurable analytical requirements.
- Experience defining and documenting KPIs and business metrics.
- Strong analytical and problem-solving skills.
- Ability to communicate findings clearly to both technical and non-technical stakeholders.
- Good English communication skills.
Nice to Have
- Experience working with education technology, SaaS, e-learning, or subscription-based businesses.
- Experience with product/business analytics.
- Experience defining event tracking and data collection requirements for engineering teams.
- Experience working with CRM, LMS, marketing, product, or customer data.
- Experience auditing or improving an existing BI/reporting environment rather than building one from scratch.
- Familiarity with modern data warehouses and cloud data platforms.
Engagement Details
- Engagement type: Project-based / part-time
- Estimated workload: 120–150 hours
- Duration: Approximately 4–6 weeks
- Start: ASAP
- Working model: Remote
- Client: US-based education technology company
- Focus: Power BI, data analysis, metrics, dashboards, data gaps, and analytics recommendations
