{"id":3699074,"url":"https://alion.io/job/exl-business-analyst-a2","title":"Business Analyst A2","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":76,"open_postings":252,"ghost_share":0,"stale_share":0.972,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ahmedabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"closed","first_seen_at":"2026-11-03T10:21:13Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-08T11:48:47Z","board_verified":false,"closed_at":"2026-11-08T11:48:47Z","days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Key Responsibilities\nMarketing Campaign Strategy & Audience Development\nDesign data-driven marketing strategies for banking products based on historical campaign performance.\nDevelop AI/ML models to optimize campaign ROI and customer targeting.\nBuild and validate campaign audiences aligned with approved strategies.\nCampaign Performance Analysis & Reporting\nEnhance and maintain Tableau dashboards with a focus on usability and visual storytelling for non-technical stakeholders.\nConduct in-depth data analysis using SAS to uncover trends, patterns, and actionable insights.Perform segmentation using decision trees and clustering techniques.\nExecute statistical A/B testing to evaluate campaign effectiveness.\n\nTranslate client requirements into technical specifications and deliver data-backed solutions.\nPrepare and present findings through impactful PowerPoint presentations and ad hoc reports.\n Key Responsibilities\nMarketing Campaign Strategy & Audience Development\nDesign data-driven marketing strategies for banking products based on historical campaign performance.\nDevelop AI/ML models to optimize campaign ROI and customer targeting.\nBuild and validate campaign audiences aligned with approved strategies.\nCampaign Performance Analysis & Reporting\nEnhance and maintain Tableau dashboards with a focus on usability and visual storytelling for non-technical stakeholders.\nConduct in-depth data analysis using SAS to uncover trends, patterns, and actionable insights.Perform segmentation using decision trees and clustering techniques.\nExecute statistical A/B testing to evaluate campaign effectiveness.\n\nTranslate client requirements into technical specifications and deliver data-backed solutions.\nPrepare and present findings through impactful PowerPoint presentations and ad hoc reports.\n Required Skills & Qualifications\nBachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.\nMinimum 3 years of experience in analytics, preferably in marketing or BFSI.\nProficient in SAS, SQL, and/or Python for data manipulation and analysis.\nAt least 1 year of experience in building dashboards using Tableau or Power BI.\nStrong analytical thinking, problem-solving, and data storytelling skills.\nExcellent communication and interpersonal abilities.\nAbility to work independently and collaboratively in a fast-paced environment.\nExperience in the banking or financial services sector is a strong 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