BI Data Analyst with Tableau/Qlik

Rapinno Tech; Oregon (WI); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A data analytics firm is seeking a BI Data Analyst with expertise in Tableau and Qlik. The role involves collaborating with stakeholders to develop KPIs and reporting dashboards, analyzing data to ensure consistency, and creating actionable insights through visualizations. The ideal candidate should have a bachelor’s degree or equivalent experience, along with extensive experience in analytics and BI tools like Tableau and Google Analytics. This is a long-term remote opportunity.

Qualifications

• Ability to create complex SQL queries from relational and non-relational sources.
• Data visualization skills using Tableau/Totals/ThoughtSpot/Qlik.
• Experience conducting analysis for multiple stakeholders.

Responsibilities

• Develop digital KPIs and reporting dashboards for engagement metrics.
• Source and validate data from multiple repositories.
• Create dashboards for business owners to gauge performance.

Skills

Reporting

Analytics

Dashboards

Tableau

Qlik

Google Analytics

Adobe Analytics

Education

Bachelor's degree or 4+ years of work experience

Relevant Master's degree

Tools

SQL

Tableau

ThoughtSpot

Qlik

Hadoop/HIVE SQL

Google Cloud Platform

Job description

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 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.
• 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)/BigQuery, Hadoop/HIVE SQL and EDW.
• Data visualization skills and good experience using Tableau/ThoughtSpot/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/ThoughtSpot/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.