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BI Data Analyst Tableau​/Qlik

Job in Oregon, Dane County, Wisconsin, 53575, USA
Listing for: Rapinno Tech
Per diem position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Mining
Job Description & How to Apply Below
Position: BI Data Analyst with Tableau/Qlik

About the job: BI Data Analyst with Tableau/Qlik

Job Title:

BI Data Analyst with Tableau/Qlik

Location:

100% remote
Duration:
Long Term Contract

Type: W2 / C2C
Client:
Direct Telecom Client

Required Skills:

Reporting, Analytics, Dashboards, Tableau or Qlik, Google or Adobe Analytics

Responsibilities
  • Collaborate and partner with Digital and Omni channel stakeholders to identify analytics and reporting requirements and baseline metrics prior to executing new use cases
  • Develop Digital KPIs and reporting dashboards in Thought Spot/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.
  • Source and analyze data from various data repositories, validate data for consistency, and partner with IT teams to ensure data integrity and KPI calculations
  • Stitch together data from multiple channels to formulate a complete customer journey 360 view.
  • Create 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
  • Develop VCG Reporting visualizations to highlight insights on opportunities to reduce journey fallout, channel hops, post digital assisted contact rate and optimizing human interactions
  • Stakeholder scorecards and dashboards with executive leadership to gain alignment and promote usage and maintain consistent KPI definitions in Collibra for Data Governance
  • Perform 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
  • Correlate, interpret and summarize scorecard reports for Omni, Assisted and Cross-Channel metrics and quantify business outcomes for data-driven campaigns and business performance.
Required Qualifications
  • Bachelors degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Ability to create complex SQL queries to pull data from relational and non-relational data sources like Teradata, Google Cloud Platform (GCP)/Big Query, Hadoop/HIVE SQL and EDW.
  • Data visualization skills and good experience using Tableau/Thought Spot/Qlik to develop reports.
  • Experience conducting research or analysis and managing projects for multiple stakeholders.
  • A/B Testing experience and KPI measurements for deriving insights from customer behavior and data patterns from Omni channels.
Preferred Qualifications
  • A Bachelors Degree or Masters degree in business, marketing, information systems, analytics/business intelligence, engineering, mathematics, statistics, behavioral sciences or other relevant technical discipline.
  • Six or more years of professional work experience within analytics and dashboards.
  • Prior experience with BI Tools or Analytics platforms such as Adobe Analytics, Google Analytics and visualization tools like Tableau/Qlik/Thought Spot/Looker etc.
  • Analytical 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.
  • Prior experience in Customer Experience, Digital and Assisted Channel Analytics, NPS Scorecards, Dashboard Reporting, KPIs, customer journey cross-channel analytics is a plus.
  • Statistical background with ML algorithms and tools such as R/Python/Spark, Deep Learning techniques or other advanced analytics tools.
  • Any prior exposure to AI/Machine Learning and some high-level understanding of ML models or data science model metrics to generate insights.
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