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BI Data Analyst with Tableau/Qlik

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Bachelor's degree or four or more years of work experience., Six or more years of relevant work experience in analytics and dashboards., Proficiency in SQL for data extraction from various sources like Teradata and Google Cloud Platform., Experience with data visualization tools such as Tableau, Qlik, or ThoughtSpot..

Key responsabilities:

  • Collaborate with stakeholders to identify analytics and reporting requirements.
  • Develop KPIs and dashboards to measure and report on digital engagement metrics.
  • Source and analyze data to ensure integrity and accurate KPI calculations.
  • Create actionable dashboards for performance monitoring and optimization decisions.

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Rapinno Health Care SME https://rapinnohealthcare.com/
11 - 50 Employees
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Job description

Job Title: BI Data Analyst with Tableau/Qlik
Location: 100% remote
Duration: Long Term Contract

Type: W2/ C2C both

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.

What were looking for...

Youll need to have

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

Even better if you have

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

Required profile

Experience

Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Reporting
  • Collaboration
  • Problem Solving

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