ANALYTICS SPECIALIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: July 29, 2024 - An Analytics Specialist supports teams with reporting and analysis, collaborating closely with IT to ensure accurate tracking and reporting on web/app activities. Responsibilities include building data structures, implementing analytics tools, and optimizing processes, as well as analyzing results to identify trends and communicate findings effectively to stakeholders. Additionally, the role involves leading A/B testing initiatives, preparing and distributing reports and dashboards, and spearheading data projects utilizing statistical methods and prior experience in campaign management.
Summary of Analytics Specialist Knowledge and Qualifications on Resume
1. BS in Statistics with 2 years of Experience
- Experience in SQL, Python or R, Analytical experience
- Big data manipulation skills, strong SAS skills.
- High volume consumer credit risk experience
- Good knowledge and understanding of Credit bureau data blocks, Experian PCO/FICO DMP (Blaze), Credit parameters and levers
- Third party Supplier management and engagement, senior stakeholder engagement
- Presentation of findings in a clear and inspiring manner
- Understanding of Business acquisition, in-life and collections policies and processes
- Able to create quantitative reports and data visualizations (power BI or Tableau)
- Experience in statistical techniques around simulation, optimization, forecasting preferred
- Financial planning/Modeling background in Pharma industry.
- Secondary data analytics in support of the development of modeling assumptions
- Consistent delivery of analytics and development of models to be used in answering business and operational questions (e.g., Operating expenses, scenario analysis, Brand performance etc.)
- Excellent Excel skills with advanced skills in Macros and other statistical programming.
2. BS in Mathematics with 3 years of Experience
- Have strong data analysis and reporting or dashboarding skills (Tableau or Power BI)
- Have ideally good backend programming skills (Scala and Python)
- Experience working with distributed and high-scale systems
- Have experience with stream and batch data processing
- Have prior experience in the B2B industry with highly modulated systems
- Experience working directly with Data Scientists
- Have strong technical/analytical skills
- Have experience with R, SAS, SQL, or equivalent (essential)
- Have experience with pricing techniques, models and machine learning, GLM and GBM
- Technical pricing experience (preferably personal lines insurance)
- Have the ability to translate technical components into commercial outcomes
- Have a tertiary qualification in a numerical or analytical discipline i.e. Finance, Mathematics, or Statistics, or Actuarial related field.
3. BS in Computer Science with 4 years of Experience
- Be responsible for supporting all the teams with reporting and analysis.
- Work with the IT teams closely to ensure accurate tracking and reporting on web/app activities and will be instrumental in developing and delivering actionable reports and analyses to support better decision-making.
- Build data structure and implement analytics and optimization tools working with IT, testing, QA and debugging existing web and app Analytics implementations.
- Analyze results and get insights to identify successes, failures, trends and effectively communicate these findings to stakeholders.
- Plan/setup/conduct/analyze new A/B testing variations.
- Using a tag management system to integrate third-party tools and build custom solutions.
- Prepare and distribute ad-hoc and weekly and monthly reports/dashboards.
- Build/maintain reports, dashboards, and metrics to monitor the performance of products.
- Build data projects by using statistical methods
- Have prior experience running campaigns in a DSP, have bilingual (Spanish)
- Have a history of running and optimizing CPA/CPL campaigns.