Data Analyst Lead Job Waukegan area,Illinois USA,IT/Tech

Position: Data Analyst Lead - Full Time
Benefits –

Comprehensive coverage starts first day of employment and includes Medical, Dental/Orthodontia, and Vision.

Ownership
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All Team Members are eligible for synthetic ownership in Experity upon one year of employment with real financial rewards when the company is successful!

Employee Assistance Program
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This robust program includes counseling, legal resolution, financial education, pet adoption assistance, identity theft and fraud resolution, and so much more.

Flexibility –

Experity is committed to helping team members face the demands of juggling work, family and life-related issues by offering flexible work scheduling to manage your work-life balance.

Career Development –

Experity maintains a learning program foundation for the company that allows Team Members to explore their potential and achieve their career goals.

Team Building –

We bring our Team Members together when we can to strengthen the team, build relationships, and have fun! We even have a family company picnic and a holiday party.

Total Compensation
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Competitive pay, quarterly bonuses and a 401(k) retirement plan with an employer match to help you save for your future and ensure that you can retire with financial security.

Remote:

Responsibilities

Lead, mentor, and manage a team of data analysts and data engineers.
Foster a collaborative and high-performance team environment.
Conduct regular team meetings, performance reviews, and career development sessions.
Oversee the design, development, and maintenance of data pipelines and ETL processes.
Collaborate with data engineers to ensure efficient and reliable data integration from multiple sources into Snowflake.
Lead the development and implementation of BI solutions using Tableau and other tools.
Develop and execute project plans, ensuring timely delivery of data analytics solutions.
Analyze complex datasets to answer key questions from stakeholders and drive business performance improvements.
Create source-to-target mappings and information-model specification documents for data sets.
Propose data-driven solutions and strategies to address business challenges.
Develop best-practice reports and dashboards based on data mining, analysis, and visualization.
Present information using advanced data visualization techniques to communicate insights effectively.
Document all processes, methodologies, and findings thoroughly.
Ensure compliance with data security and privacy regulations, maintaining high standards for handling Protected Health Information (PHI).

Requirements