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Open nowFirst seen 2 days ago

BI Data Analyst with Tableau/Qlik

Rapinno Tech Inc601 open roles

Where
Remote, Oregon, United States
Work mode
Remote
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Your applicationOpen nowBI Data Analyst with Tableau/QlikRapinno Tech Inc · Remote, Oregon, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Rapinno Tech Inc's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 2 days ago

The posting

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

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