{"id":2213458,"url":"https://alion.io/job/rapinnotech-bi-data-analyst-with-tableauqlik","title":"BI Data Analyst with 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Testing","optional":false},{"name":"BigQuery","optional":false},{"name":"Collibra","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Looker","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Teradata","optional":false},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-10T03:47:30Z","employer_posted_date":null,"last_verified_at":"2026-10-10T03:47:30Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Job Title: BI Data Analyst with Tableau/Qlik\nLocation: 100% remote\nDuration: Long Term Contract\nType: W2/ C2C bothClient: Direct Telecom Client\nRequired Skills: Reporting, Analytics, Dashboards, Tableau or Qlik, Google or Adobe Analytics.\nResponsibilities:Collaborate and partner with Digital and Omni channel stakeholders to identify analytics and reporting requirements and baseline metrics prior to executing new use cases\nDevelop Digital KPIs and reporting dashboards in ThoughtSpot/Tableau/Qlik/Looker to measure, analyze and report trends on App and Web Engagement, App Adoption, Digital Channel Hops and E2E CX journey metrics with path analysis, cohort segmentation, SQL automation.\nSource and analyze data from various data repositories, validate data for consistency, and partner with IT teams to ensure data integrity and KPI calculations\nStitch together data from multiple channels to formulate a complete customer journey 360 view.\nCreate and deploy actionable dashboards for business owners to gauge performance and assist with omni channel optimization decisions such as CX KPIs, NPS, Revenue, Churn, Call-in Rate\nDevelop VCG Reporting visualizations to highlight insights on opportunities to reduce journey fallout, channel hops, post digital assisted contact rate and optimizing human interactions\nStakeholder scorecards and dashboards with executive leadership to gain alignment and promote usage and maintain consistent KPI definitions in Collibra for Data Governance\nPerform A/B Testing, measure success metrics of new releases over existing flows, run simulations for Omni insight personalization, holistically analyze end-to-end journey paths\nCorrelate, interpret and summarize scorecard reports for Omni, Assisted and Cross-Channel metrics and quantify business outcomes for data-driven campaigns and business performance.\nWhat were looking for...Youll need to haveBachelors degree or four or more years of work experience.\nSix or more years of relevant work experience.\nAbility to create complex SQL queries to pull data from relational and non-relational data sources like Teradata, Google Cloud Platform (GCP)/BigQuery, Hadoop/HIVE SQL and EDW.\nData visualization skills and good experience using Tableau/ThoughtSpot/Qlik to develop reports\nExperience conducting research or analysis and managing projects for multiple stakeholders.\nA/B Testing experience and KPI measurements for deriving insights from customer behavior and data patterns from Omni channels\nEven better if you haveA Bachelors Degree or Masters degree in business, marketing, information systems, analytics/business intelligence, engineering, mathematics, statistics, behavioral sciences or other relevant technical discipline.\nSix or more years of professional work experience within analytics and dashboards\nPrior experience with BI Tools or Analytics platforms such as Adobe Analytics, Google Analytics and visualization tools like Tableau/Qlik/ThoughtSpot/Looker etc\nAnalytical skills and problem solving skills with capability and experience connecting sales/operational/channel data between multiple data sources to develop queries, analyze data and generate insights.\nPrior experience in Customer Experience, Digital and Assisted Channel Analytics, NPS Scorecards, Dashboard Reporting, KPIs, customer journey cross-channel analytics is a plus\nStatistical background with ML algorithms and tools such as R/Python/Spark, Deep Learning techniques or other advanced analytics tools.\nAny prior exposure to AI/Machine Learning and some high-level understanding of ML models or data science model metrics to generate insights\nOriginally posted on Himalayas","description_format":"text","description_chars":3649,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software 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