{"id":1267976,"url":"https://alion.io/job/onemagnify-bi-analyst","title":"BI Analyst","company":{"id":1868145,"name":"OneMagnify","domain":"onemagnify.com","url":"https://alion.io/company/onemagnify","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":30000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":937},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Power BI","optional":false},{"name":"SAS","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"LLM","optional":true},{"name":"Looker","optional":true},{"name":"Power Apps","optional":true},{"name":"Power Automate","optional":true},{"name":"Python","optional":true},{"name":"QlikSense","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-16T00:00:00Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-01T02:51:59Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.\nThe Impact You’ll Have:\nWe are hiring a BI Analyst to own the design, build and support of Power BI reporting for business teams across Manufacturing, Supply Chain, Credit, Mobility, Connected Vehicle and Warranty. The majority of the work is hands-on Power BI development on top of data in Google Cloud (BigQuery). You will work directly with business users to understand what they need, model the data properly, and deliver dashboards people actually use.\nWhat you’ll do:\nBuild and maintain Power BI dashboards, reports and datasets end to end - requirement gathering, data model, DAX measures, visuals, publishing and support.\nWrite and tune SQL in BigQuery to prepare clean, reliable datasets for reporting.\nDesign star-schema data models and reusable, certified datasets so business teams can self-serve instead of asking for one-off reports.\nSet up refresh schedules, gateways, workspaces, row-level security and deployment pipelines; keep report performance and query cost under control.\nBuild transformation pipelines in Dataform (or dbt-style SQL models) and schedule them; use Cloud Run / Cloud Functions for lightweight automation where needed.\nInvestigate data issues, trace them back to the source, and put basic data quality checks in place.\nSit with business stakeholders, translate their questions into metric definitions and specs, and document what you build.\nReplace manual and Excel-based reporting with automated solutions.\nSupport Gen AI / Vertex AI use cases where useful - natural-language Q&A on datasets, automated summaries, Copilot features in Power BI.\nReview work from junior analysts and help them level up.\nWhat you’ll need:\n3-7 years of hands-on BI / reporting experience, with the bulk of it in Power BI (Power Query, DAX, data modelling, Power BI Service administration)/ similar tools.\nStrong SQL - joins, aggregations, window functions, and the ability to debug a slow query.\nPractical experience with a cloud data warehouse. GCP BigQuery preferred; Snowflake, Databricks, Azure Synapse / Fabric or Redshift equally considered.\nWorking knowledge of ETL/ELT concepts and at least one transformation or workflow tool - Dataform, dbt, Alteryx, SAS, Dataflow or similar.\nUnderstanding of dimensional modelling and how to structure data for reporting rather than just extracting it.\nAbility to talk to non-technical stakeholders, push back sensibly, and explain numbers clearly.\nA degree in Engineering, Computer Science, IT, Statistics, Business Analytics or any quantitative field.\nFuture-Ready Skills (Nice to Have):\nPython (pandas) for data prep or automation.\nVertex AI, Gen AI / LLM-assisted analytics, or Power BI Copilot exposure.\nTableau, Qlik Sense or Looker experience alongside Power BI.\nGit / DevOps, CI-CD for BI artefacts, Agile ways of working.\nPower Automate / Power Apps for workflow automation.\nMicrosoft PL-300 or Google Professional Data Engineer certification.\nExperience in integrated marketing, digital agency, marketing services, or consulting environments preferred.\nBenefits\nWe offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more.\nWe are an equal opportunity employer\nWe believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.","description_format":"text","description_chars":4001,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Marketing","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-25T22:50:59Z"}],"liveness":{"score":69,"band":"ok","label":"Likely open","p_open":1,"p_active":0.769,"p_room":0.9,"age_days":15,"expected_fill_days":30,"reasons":["conf:2","velocity","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/onemagnify-bi-analyst","json_url":"https://alion.io/job/onemagnify-bi-analyst.json","meta":{"generated_at":"2026-10-01T12:46:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4234,"day_limit":5000,"remaining_today":766,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}