Candidates must possess a Bachelor's degree in Business Analytics, Data Science, Statistics, Computer Science, or a related field, coupled with 4 years of experience in a BI or data analysis role. Proficiency in SQL for data querying and manipulation is essential, as is experience with BI tools like Tableau and Looker, and a strong understanding of data visualization best practices. Familiarity with data warehousing concepts and ETL processes, along with excellent communication, presentation, pr…

Candidates must have a minimum of 5 years of hands-on experience with SQL programming, including query optimization and data manipulation. A minimum of 2 years of experience developing Power BI reports and dashboards is required, along with a minimum of 1 year of experience with Power Apps and/or Power Automate. Proven experience working with both Medicaid and Medicare data sets is necessary, as is the ability to leverage reporting solutions to address complex business and data challenges. Stron…

Candidates must have a minimum of 3 years of experience using SQL to write complex queries against large data sets and visualize results with modern data visualization software like Power BI. A minimum of 1 year of experience designing, building, and maintaining technology solutions in low-code application technology such as Microsoft Power Apps/Power Automate and utilizing Power BI report builder is also required. Proven ability to work with cross-functional teams to translate requirements betw…

Candidates should possess a Bachelor’s or Master’s degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent experience and certifications. They must have 4 or more years of hands-on experience with business intelligence tools such as Tableau, PowerBI, Looker, Qlik, or Quicksight, with a focus on advanced analytics and dashboard development, and 4 or more years of experience working with SQL data sources, including advanced query optimization techniques, pre…

The Senior Data Analyst should possess a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics, and have at least five years of experience in data analysis, with a strong focus on business intelligence. Proficiency in SQL and Python is essential, along with experience in designing and developing data structures from internal and third-party sources.

A Bachelor's Degree is preferred, along with 3-5 years of experience in SQL for data querying and transformations, and 3-5 years of experience in QuickSight or a similar BI visualization tool. Proficiency in PC/MAC platforms, including Excel and Google Sheets, is expected. Preferred experience in the healthcare and/or insurance industries is also noted. Excellent oral and written communication skills, proven analytical and problem-solving abilities, and strong interpersonal skills are required f…

Candidates must be highly skilled, forward-thinking, and collaborative Senior BI Engineers with a passion for data and its potential to drive business success. Experience leading the design, development, and maintenance of BI platform implementations, semantic data modeling, reporting, and dashboarding capabilities is required. Proficiency in SQL, scripting languages, and relevant APIs is essential.

Candidates should possess at least 4 years of experience in Visualization Engineering and Data Analysis, with a strong focus on Tableau. Essential skills include robust project management capabilities encompassing scope definition, RACI development, timeline tracking, risk mitigation, and stakeholder alignment across financial systems. Proficiency in data modeling, strong SQL skills within Cloud Data Warehouse platforms like Snowflake, and experience in Center of Excellence (CoE) activities such…

A Master's degree in Computer Science, Information Technology, or a related field is required, along with at least 1 year of experience in Business Intelligence and Insights, Data Science, or a related occupation. Proficiency in SQL development against RDBMS, ETL development using SSIS, SSAS data design and modeling (MDX and DAX with Row level data security), on-premises data warehouses (especially Oracle), SQL query optimization, AWS Cloud services (Athena, Airflow), Git Source Control, Power B…

Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and have at least 7 years of experience in business intelligence engineering, with a strong focus on data warehousing and ETL processes. They should demonstrate expertise in data modeling, SQL, and data visualization tools, along with a solid understanding of Medicaid Managed Care and compliance requirements.

Candidates should possess a Bachelor's degree in Business, Computer Science, Engineering, or a related field, and have 1–3 years of experience in consulting, analytics, bizops, product, or similar high-intensity roles. Strong familiarity with AI tools such as ChatGPT, Claude, and Copilot, along with experience integrating them into daily work, is required. Familiarity with automation tools like n8n, Zapier, and Make.com, and experience designing lightweight workflows, is also necessary. Advanced…

Candidates must possess a BS/MS in Computer Science or a related field, or equivalent experience, along with over 5 years of functional or manual testing experience in the data and analytics engineering industry. Required technical skills include experience with test case management systems like QMetry, project management tools such as JIRA, Confluence, and Miro, and proficiency in Agile/Waterfall methodologies and SDLC. Hands-on experience with data visualization applications functional testing…

Candidates should possess a Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline, and ideally have 5+ years of experience in business intelligence and data analysis. Strong analytical and problem-solving skills are essential, along with proficiency in SQL and experience with data visualization tools like Tableau or Power BI. Experience with cloud-based data warehouses (e.g., Snowflake, Redshift) and ETL processes is prefe…

The Senior Manager, Business Intelligence will lead and develop a high-performing Business Intelligence team, setting the technical vision and overseeing strategic projects to uncover business insights. Candidates should possess strong technical skills in SQL and Python, along with experience in designing and developing data structures from internal and third-party sources.

The Analytics Engineer requires 5–7+ years of experience in Analytics Engineering, Data Analytics, or related roles, advanced experience with Snowflake, SQL, and dbt for data modeling and transformation, strong experience with Tableau or similar BI tools for data visualization and dashboarding, the ability to work independently and collaboratively in a fast-paced environment, and strong communication skills with both technical and non-technical audiences.