Role Description The Business Data Analyst will be responsible for analyzing and interpreting complex data sets to provide actionable insights that drive business management and improvement strategies. This role requires a strong analytical mindset, proficiency in statistical methods, and an ability to develop an understanding of business objectives to effectively translate data into findings. The ideal candidate will have experience with data visualization tools, a strong interest in learning and applying new skills to advance business data analysis, and a passion for turning data into meaningful business outcomes. This role will report to the Director of Operations Strategy on the Business team. Responsibilities - Collaborate with cross-functional teams to understand business needs and translate them into data reporting requirements. - Document data sources, data definitions, methodologies, and processes to ensure data integrity and facilitate knowledge sharing within the team. - Collect, clean, and analyze data from various sources to identify trends, patterns, and insights. - Develop and maintain dashboards, reports, and visualizations using tools such as PowerBI, Excel, or Canva. - Conduct data analyses and modeling to support business objectives and decision-making processes. - Ensure compliance with data governance standards and privacy regulations. - Prepare data visualizations and present findings through clear and concise reports, presentations, and infographics. - Perform regular data audits to ensure accuracy, consistency, and completeness of data, and work with cross-functional teams to address any discrepancies and resolve data issues identified. - Continuous learning to stay current with best practices, skills, and AI in data analysis and business intelligence. Qualifications - Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field. A Master's degree is a plus. - 2+ years of relevant experience. - Proven experience as a Business Data Analyst or similar role. - Proficiency in data analysis tools and software, specifically Excel. SQL experience a plus. - Experience with data visualization tools, such as PowerBI, Tableau, or similar. Knowledge of Canva is a plus for creating engaging infographics. - Demonstrated ability to work in a fast-paced, dynamic environment and meet deadlines effectively. - Excellent problem-solving skills and attention to detail, accurately and thoroughly accomplishing assignments. - Effectively manages time with the ability to manage multiple projects simultaneously. - Demonstrates respectful interactions with colleagues at all levels in MedInsight. - Ability to maintain confidentiality of data and information. Benefits - Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners. - Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges. - 401(k) Plan – Includes a company matching program and profit-sharing contributions. - Discretionary Bonus Program – Recognizing employee contributions. - Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses. - Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. - Holidays – A minimum of 10 paid holidays per year. - Family Building Benefits – Includes adoption and fertility assistance. - Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria. - Life Insurance & AD&D – 100% of premiums covered by Milliman. - Short-Term and Long-Term Disability – Fully paid by Milliman.

• Prioritize Client Success • Translate questions into analytical problems and deliver clear, data-driven answers. • Create dashboards, reports, and visualizations that empower users to explore and understand key metrics. • Partner with stakeholders to uncover trends, anomalies, and insights that drive action and decision-making. • Work with incomplete or messy data, asking the right questions to clarify and guide analysis. • Tackle ambiguity with confidence—identify assumptions, experiment quickly, and iterate fast. • Solve ambiguous problems by making informed decisions with the best available data. • Go beyond surface-level reporting to explore what’s really going on—why something happened, not just what. • Ask questions that challenge assumptions and dig into data to uncover root causes. • Use a hypothesis-driven approach to analysis, combining curiosity with a rigorous mindset. • Develop scalable and repeatable reporting and analytics solutions. • Ensure data integrity and quality in every analysis. • Document methods and train others to ensure continuity and shared understanding. • Be scrappy, stay hungry. Move fast, experiment, and adapt—speed and agility are extremely important. • Roll up your sleeves and get your hands dirty. Take ownership and find creative solutions to technical challenges. • Balance speed with quality—deliver fast, but don’t cut corners. • Work collaboratively across teams, combining diverse skills and perspectives to drive better outcomes. • Jump in wherever needed—from wrangling datasets to refining the story for an executive audience. • Make data approachable—translate complex analytics into plain language for non-technical audiences.

• Manage and maintain a comprehensive user tagging system to support personalized services and risk control initiatives. • Analyze user behavior data to build accurate, dynamic, and actionable user profiles. • Perform data mining, feature engineering, and exploratory analysis to extract meaningful insights from large-scale datasets. • Collaborate closely with cross-functional teams, including Product, Risk, Marketing, and Technology, to optimize user segmentation and targeting strategies. • Monitor and evaluate the effectiveness of user tags and user profiles, continuously improving data quality, accuracy, and relevance. • Support the implementation of data-driven decision-making processes across the organization. • Identify patterns, anomalies, and emerging trends in user behavior to support business growth and risk mitigation. • Contribute to the continuous improvement of data methodologies, profiling frameworks, and analytical processes.

Role Description We are looking for an experienced Data Analyst to join our team supporting U.S. Customs and Border Protection. As a Data Analyst, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications. Role Responsibilities: - Responsible for data mining, data preparation, and reporting. - Prepare and conduct analyses and studies, needs/gaps assessments. - Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed. - Documents and summarizes the results and develops and recommends solutions to the customer’s problems. - Prepares big data, implements data models developed by others, and provides database support for customer solutions. - Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks. Qualifications - Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related quantitative or mathematical discipline. - At least two (2) years of experience applied data science research or big data analytics. - Bachelor’s Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline. A Master’s degree may be substituted for up to two (2) years of relevant experience. A PhD may be substituted for experience. - Knowledge of data mining methods, databases, data visualization and machine learning. - Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA). - Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs. - Ability to communicate analysis techniques, concepts, and products. - Ability to develop data-driven analysis and reports based on data visualizations and data models. - Strong SQL skills, and ability to identify issues with data. - Experience with Qlik. - Experience with Tableau. - Experience with PowerBI tools. - Familiarity with Databricks or similar cloud-based distributed database technologies. - Understanding of database and database design. - Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data. - Demonstrated experience within an AWS environment (AWS certifications preferred). - Familiarity with industry best-practices for software-hardware optimization when processing large sets of data. - Ability to travel to and work on site at clients as needed. - Excellent communication skills both verbal and written. Requirements - Expertise with Qlik. - Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics. - Experience with Hadoop, Spark or other parallel storage/computing processes. Benefits - Competitive Salary and Benefits. - Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States. - Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. - Remote Work: in an industry of declining remote work opportunities. - People-Focused Culture: we prioritize work-life balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement. - Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits. Company Description Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. - Our team members are passionate, curious, life-long learners. - We value humility, servant-leadership, teamwork, and integrity. - We seek to serve our clients and our teammates to the best of our abilities. - Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. - Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. - By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.