Business Intelligence Analyst

BENDA CORPORATION
Chicago, IL, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Application Programming Interfaces (APIs) Business Analytics Applications Data as a Services Data Cleansing Data Files Data Governance Data Infrastructure Data Transformation Data Presentation Relational Databases Database Queries
+11 more
Operational Data Store Raw Data Power BI SQL Databases Data Streaming Tableau (Software) Powerquery Data Analytics Data Management Azure Synapse Analytics Looker Analytics

Job description

As a Business Intelligence Analyst, You’ll be the go-to person for operational data insights and dashboarding. This role bridges operations and analytics: you’ll build, maintain and evolve reports and dashboards in Power BI to support business operations, while digging into operational data to surface trends, issues and opportunities., * Design, develop and maintain interactive Power BI dashboards and reports that support operational KPIs, performance tracking, and trend-analysis for leadership and frontline teams.

  • Work with cross-functional teams (Operations, Finance, Revenue Operations, Data Services, etc.) to gather requirements, translate them into analytical solutions and deliver actionable insights.
  • Integrate data from multiple sources (SQL databases, Tabular Models, Excel/CSV, APIs, systems) and perform data cleansing, transformation and modeling to create trusted datasets.
  • Conduct ongoing operational data analysis: identify patterns, anomalies, root-cause issues, performance levers and present findings with visualizations and narrative.
  • Partner with operations teams to monitor metrics, generate periodic reports, and ad-hoc deep dives.
  • Support the operations data infrastructure: help with data governance, standardization of metrics, documentation of dashboards/reports, training users on self-service analytics.
  • Maintain report performance, implement best practices in models and visualization, ensure dashboards are user-friendly and scalable.
  • When required, assist in process improvement initiatives by providing data-driven recommendations and supporting change management through analytics.
  • Develop and maintain documentation of data sources, definitions, key metrics, reporting schedules and data flows.
  • Serve as a liaison between analytics/IT teams and operations to ensure timely delivery of accurate reporting and analytics.

Requirements

Do you have experience in SQL?, Do you have a Bachelor’s degree?, * Bachelor’s degree in a quantitative or related field

  • Demonstrable experience (0-2+ years) as a Data Analyst, Business Intelligence Analyst or Operations Analyst with strong Power BI skills.
  • Proficiency with Power BI: building reports, dashboards, data models, DAX, Power Query.
  • Strong SQL skills (writing queries, joining tables, aggregations) and experience working with relational databases.
  • Experience integrating multiple data sources, cleaning and transforming data, building trustworthy data sets for analytics.
  • Excellent analytical thinking and problem-solving capability; ability to move from raw data to actionable insights.
  • Clear communication skills-capable of explaining complex data topics to non-technical stakeholders and presenting insights in an operational context.
  • Strong organizational skills: ability to manage multiple reporting and analysis tasks, meet deadlines, respond to ad-hoc requests.
  • Familiarity with operations metrics and processes (On Time performance, service metrics)
  • Comfortable working in a fast-paced environment and driving independent work while collaborating with others.

Preferred Qualifications

  • Experience in a transportation-oriented environment.
  • Experience with other BI tools or data platforms (Tableau, Looker, Power Platform, Azure Synapse).
  • Familiarity with process improvement methodologies such as Six Sigma
  • Experience with data governance, metric standardization and establishing reporting frameworks.
  • Prior experience training users on self-service analytics or building analytics culture.

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