Data Analyst (Remote)

Our History: From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200 individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record. Who We Are: Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project-based work. Conexess Group is aiding a large healthcare client in their search for a Data Analyst in a remote capacity. This is a long-term opportunity with a competitive compensation package. Responsibilities: Collaboration: Working with stakeholders to understand their data needs Technology selection: Determine appropriate tools and platforms to use for each scenario Prioritization: Partner with others to schedule work intake and deliverables Data collection: Obtain data through multiple sources as needed. Continuously streamline processes Data cleaning: Ensuring data quality by removing duplicates, errors, and outliers Data modeling: Designing database structures (data selection, categories & relationships) Data interpretation: Using statistical tools to identify patterns and trends in data Data visualization: Creating charts, graphs, and dashboards to present data findings Reporting: Preparing reports and presentations to communicate findings to stakeholders Process improvement: Identifying opportunities to improve processes and procedures Predictive modeling: Using data to predict future trends or behaviors Data mining: Exploring large datasets to identify patterns or relationships. Navigate complex environment of various data sources Prescriptive analytics: Produce actionable results to drive business decisions. Diagnostic analytics: Identify root causes of technical and business challenges Descriptive analytics: Assess trends over specific time periods Predictive analytics: Determine most likely outcomes based on patterns and tendencies. Create and maintain a reporting playbook outlining all reports and tools developed Maintain all resulting data analytic solutions Qualifications: Bachelor's degree preferred, or equivalent combination of education, training, and/or experience At least three years of experience across analytics layers (ingest, store, analyze, predict, visualize, API, AI) and supporting technologies (Tableau, Power BI, Excel, SQL, etc.) Strong written and verbal communication skills. Strong organizational and problem-solving skills. Ability to focus and retain information Ability to work independently and manage work effectively with minimal supervision LI-Remote LI-DB1