{"id":2073058,"url":"https://alion.io/job/cummins-business-intelligence-analyst-2","title":"Business Intelligence Analyst","company":{"id":1758413,"name":"Cummins","domain":"cummins.com","url":"https://alion.io/company/cummins-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":82,"open_postings":71,"ghost_share":0,"stale_share":0.901,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"SSAS","optional":false}],"status":"live","first_seen_at":"2026-10-08T05:58:22Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-20T02:34:44Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"The Business Intelligence Analyst is responsible for developing, analyzing, and delivering business intelligence reports and dashboards that enable data-driven decision-making across the organization. This role gathers reporting requirements, extracts and transforms data from multiple sources, performs data quality validation, and delivers meaningful insights to key stakeholders. Working collaboratively with cross-functional teams, the Business Intelligence Analyst applies analytical techniques, visualization tools, and reporting best practices to support business performance while fostering a culture of continuous improvement and innovation.\nKey ResponsibilitiesGather, analyze, and document business reporting requirements from stakeholders.\nDesign, develop, and maintain recurring reports, dashboards, and visualizations using standardized reporting practices.\nExtract, transform, and analyze data from operational systems, databases, and enterprise data platforms to generate actionable insights.\nPerform data validation, quality assurance, and testing to ensure the accuracy, consistency, and reliability of reporting outputs.\nSelect appropriate analytical methods and visualization techniques to address business questions and support informed decision-making.\nDevelop interactive dashboards and data models using Power BI, including DAX calculations and performance optimization.\nWrite and optimize SQL queries to retrieve, transform, and analyze structured data.\nWork with enterprise data platforms such as Snowflake, Databricks, SQL Server, and SSAS models to support reporting and analytics needs.\nApply data mining, statistical analysis, and visualization techniques to identify trends, patterns, and business opportunities.\nCollaborate with senior analysts, business leaders, and cross-functional teams to understand reporting priorities and business objectives.\nCommunicate analytical findings and recommendations effectively to technical and non-technical stakeholders.\nSupport data governance initiatives by ensuring adherence to data quality standards and reporting best practices.\nIdentify opportunities to improve reporting processes through automation, innovation, and emerging technologies.\nStay current with evolving BI technologies, analytics tools, and industry best practices.\nDemonstrate Cummins Leadership Behaviors by promoting collaboration, inclusion, continuous learning, customer focus, and accountability.\n Skills and Experience\nStrong analytical and problem-solving skills with the ability to interpret complex datasets and translate findings into actionable business insights.\nAdvanced proficiency in Power BI, including dashboard development, data modeling, DAX, and visualization best practices.\nStrong SQL skills for querying, transforming, and analyzing structured data.\nExperience with enterprise data platforms such as Snowflake, Databricks, SQL Server, and SSAS.\nKnowledge of data analytics, data mining, statistical analysis, and business intelligence methodologies.\nUnderstanding of data quality, data governance, and reporting standards.\nAbility to communicate technical concepts and analytical insights clearly to diverse business audiences.\nStrong collaboration and stakeholder management skills with the ability to work effectively across business and technical teams.\nAbility to manage multiple priorities in a fast-paced, global environment.\nDemonstrated learning agility and adaptability to new technologies and business challenges.\nExposure to Python, Machine Learning, OpenAI technologies, and Microsoft Power Platform is considered an advantage.\nCore Competencies\nBusiness Intelligence & Data Analytics\nData Visualization & Storytelling\nPower BI Development\nSQL & Data Modeling\nData Mining & Statistical Analysis\nData Quality & Governance\nCritical Thinking & Problem Solving\nStakeholder Communication & Collaboration\nCustomer Focus\nContinuous Learning & Innovation\nAdaptability & Agility\nInclusion & Valuing Differences\n Qualifications\nBachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, Mathematics, or another quantitative discipline, or equivalent experience.\nExperience analyzing business data and developing meaningful insights to support decision-making is required.\nExperience supporting a customer-focused 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