{"id":1381627,"url":"https://alion.io/job/weekday-data-analyst-6","title":"Data Analyst","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":85,"ghost_share":0,"stale_share":0.976,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false},{"name":"Copilot","optional":true},{"name":"Microsoft Excel","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-28T08:40:53Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-30T05:20:11Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"This role is for one of Weekday’s clients\nMin Experience: 4+ years\nLocation: India\nJobType: full-time\nWe are looking for an experienced Data Analyst with 4-8 years of experience to join our analytics team and drive data-led decision-making across the CPG/FMCG business. The ideal candidate will have strong expertise in Power BI, along with hands-on experience in Pricing Analytics, Distribution Analytics, sales performance, and commercial analytics.\nYou will work closely with business, sales, marketing, revenue, and commercial stakeholders to transform complex datasets into actionable insights, dashboards, and recommendations that support pricing strategies, distribution expansion, revenue growth, and overall business performance.\nRequirements\nKey Responsibilities\nDevelop, maintain, and optimize interactive Power BI dashboards and reports for sales, pricing, distribution, revenue, and business performance.\nAnalyze CPG/FMCG datasets to identify trends, patterns, opportunities, and performance gaps across products, categories, channels, regions, and customers.\nConduct Pricing Analytics, including price-performance analysis, price changes, discount analysis, price elasticity, promotional effectiveness, and revenue impact.\nPerform Distribution Analytics to evaluate distribution coverage, availability, channel performance, geographic penetration, and product-level distribution trends.\nTrack key commercial and sales KPIs and provide actionable insights to business stakeholders.\nBuild automated reporting solutions that reduce manual reporting and improve data accessibility.\nCollaborate with sales, marketing, finance, category management, and commercial teams to understand business requirements and translate them into analytical solutions.\nIdentify data quality issues and work with relevant teams to improve data accuracy, consistency, and reliability.\nPresent analytical findings and business recommendations to stakeholders in a clear and structured manner.\nContinuously improve existing dashboards, analytical models, and reporting processes.\nMust-Have Skills\nPower BI - strong hands-on experience in dashboard development, data modeling, visualization, DAX, Power Query, and report optimization.\nCPG / FMCG Analytics - strong understanding of consumer packaged goods, sales, distribution, categories, channels, and commercial metrics.\nPricing & Distribution Analytics - practical experience analyzing pricing, promotions, distribution, assortment, sales performance, and commercial effectiveness.\nStrong analytical and problem-solving capabilities.\nAbility to translate business questions into meaningful data-driven insights.\nStrong stakeholder communication and presentation skills.\nExperience working with large and complex datasets.\nGood-to-Have Skills\nPower BI Copilot / AI - exposure to AI-assisted analytics, Copilot capabilities, or AI-driven reporting and insights.\nAdvanced Excel - strong knowledge of Pivot Tables, Power Query, advanced formulas, data modeling, and analytical functions.\nSQL - ability to write queries, perform data extraction, joins, aggregations, transformations, and validation.\nExperience with sales, revenue, trade promotion, category, or commercial analytics.\nExposure to automation and self-service BI solutions.\nQualifications\nBachelor's or Master's degree in Analytics, Statistics, Mathematics, Economics, Business, Computer Science, or a related field.\n4-8 years of relevant experience in Data Analytics, Business Intelligence, Commercial Analytics, Sales Analytics, or a similar role.\nPrior experience in the CPG/FMCG industry is strongly preferred.","description_format":"text","description_chars":3613,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["FMCG & Consumer Brand Groups"],"lifecycle":[{"event":"open","at":"2026-09-28T08:40:53Z"}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.348,"p_room":0.9,"age_days":1,"expected_fill_days":5,"reasons":["conf:0","agency","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/weekday-data-analyst-6","json_url":"https://alion.io/job/weekday-data-analyst-6.json","meta":{"generated_at":"2026-09-30T06:35:36Z","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":4611,"day_limit":5000,"remaining_today":389,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}