• You apply the social-scientific method of media content analysis in practice (focus: text analysis) • You independently code media items from print, online, radio, TV and social media and analyze them in a structured way • You write summaries, especially for social media content • You support the automation of analysis processes (e.g., coding, data preparation) • You contribute to quantitative and qualitative media analyses within the Insights team • You assist with data evaluation, create graphics and write analytical texts (if appropriate and interested)

Role Description We’re looking for a Senior FP&A Analyst who enjoys working with numbers, but also cares about the story behind them and the impact on the business. In this role, you’ll support planning and decision-making by turning data into meaningful, easy-to-understand insights. You’ll work closely with Finance leaders and teams across the business in a fast-moving environment. - Supporting budgeting, forecasting, and long-term planning - Building and maintaining financial models 📈 - Analysing performance against plan and explaining key drivers - Turning complex data into clear, useful insights - Partnering with teams across the business to support decisions Qualifications - 3–6 years’ experience in FP&A or corporate finance - Strong Excel and financial modelling skills - The ability to communicate insights clearly and confidently - A proactive mindset and attention to detail Requirements - Completely remote

Role Description The Account Analyst assists both the KeHE Account Manager and Customer’s personnel with the compilation, processing and analysis of data as related to the sales and marketing of products for the Customer’s account. Accountabilities are accomplished through working cooperatively to foster an environment consistent with the KeHE Mission and Values. - Assist KeHE Account Manager in the development and execution of company sales and marketing programs for the Customer chain, including: - Assuring accurate and timely development, release, and execution of planograms and category responsibilities. - Designing planograms to achieve customer satisfaction by market area. - Maximizing profitable sales and utilizing space efficiently. - Providing adequate inventory allocation to meet normal volume. - Coordinate activities and communications among vendors and company functional groups to assure Customer account satisfaction, including: - Providing expert knowledge of category trends. - Communicating findings to all individuals involved, including Category Managers, Shelf Merchandising Specialists, etc. - Identifying opportunities to increase customer sales through improvement of product mix. - Advising Category Managers on planogram standards. - Providing technical and analytical support to the Category Managers by analyzing store data to effectively place items in the planogram. - Coordinate implementation of merchandising activities, including: - Planograms. - New items. - Ads. - Grand openings. - Customer requests. - Monitor competitor activities, recommend paths forward, and implement approved plans. - Assist in monitoring all accounts and receivables. - Establish and maintain databases for promotions, price changes, cost changes, item maintenance, and other information regarding sales and marketing activities. Qualifications - High School diploma required; Bachelor's Degree preferred. - Minimum two (2) years’ experience in sales of grocery products to chain accounts. - Understanding of category management with strong quantitative, analytical and computer skills. - Working knowledge of computer software, including word processing, spreadsheet, and presentation applications. - Advanced Microsoft Excel skills required, including: - Advanced formulas and V lookups. - Tables and formatting. - Conditional formatting. - Charting and pivot tables. - Reporting. - Ability and willingness to work flexible hours, including some weekends. - Demonstrated ability to recognize and pursue business opportunities without being directed. - Strong negotiating, communication, and organizational skills. - Ability to interact with a diverse group of individuals and contribute to a collaborative work environment. - Demonstrated ability to effectively manage a variety of tasks simultaneously. - Ability to effectively identify long-term issues and develop strategies to address them. Requirements - Demonstrated strength in oral and written communications with people at all organizational levels. - Demonstrated proficiency in conducting effective meetings and making clear and concise presentations. - Ability to coordinate and prioritize a high volume of work and meet pressing time requirements. - Ability to work independently and take responsibility for personal actions, decisions, and results. Benefits - Health/Rx - Dental - Vision - Flexible and health spending accounts (FSA/HSA) - Supplemental life insurance - 401(k) - Paid time off - Paid sick time - Short term & long term disability coverage (STD/LTD) - Employee stock ownership (ESOP) - Holiday pay for company designated holidays

Role Description NIVA Health is looking for a Senior Data & Reporting Analyst to join the Business Intelligence & Innovation (BII) department. This is a hands-on, execution-focused role responsible for ensuring that data presented to operational and clinical leadership is accurate, consistent, and trusted. You will work within an established data environment, partnering closely with the BII Director and the data engineering team. Your primary responsibility is validating data integrity, building reliable dashboards, and translating operational data into clear insights for your assigned division. This is not a strategy-setting role. Metric definitions and cross-divisional standards are owned by BII leadership. Your value lies in applying those standards with precision, catching data issues before they reach decision-makers, and ensuring reporting outputs that teams can rely on without question. What you will own - Data Accuracy & Validation - Validate data integrity across reporting outputs and source systems within your division - Identify discrepancies and investigate root causes in collaboration with the data engineering team - Ensure all data is reviewed and verified before distribution to stakeholders - Proactively surface data quality issues before they reach leadership or clinical teams - Reporting & Dashboards - Build and maintain dashboards and reports using Looker, Power BI, Tableau, or similar tools - Translate operational and clinical data into clear, structured insights for non-technical stakeholders - Support recurring reporting needs for divisional leadership - Ensure dashboards are simple, usable, and actively adopted by teams - Metric Consistency - Apply standardized metric definitions as established and governed by BII leadership - Maintain documentation of reporting logic and calculation methods within your division - Escalate metric inconsistencies or definitional gaps to the BII Director for resolution - Cross-Functional Collaboration - Work closely with divisional operations and clinical leadership to understand reporting needs - Act as the primary consumer of data engineering outputs — raise pipeline issues through the BII Director - Contribute to broader BII reporting initiatives as directed by BII leadership What success looks like - Leadership trusts the numbers without questioning them - Dashboards are simple, actionable, and widely used by your division - Data issues are caught before they reach decision-makers - Reporting processes are reliable, repeatable, and well-documented - Discrepancies are identified and escalated — or resolved — in a timely manner Qualifications - Strong SQL proficiency — complex queries, joins, aggregations, and data validation logic - Proven experience building and maintaining dashboards (Looker, Power BI, Tableau, or similar) - 3–7+ years in data analytics, business intelligence, or reporting roles - Demonstrated experience working across multiple data sources and reconciling inconsistencies - Strong attention to detail with a track record of identifying and resolving data discrepancies - Ability to explain data clearly and confidently to non-technical stakeholders Advantageous - Experience in healthcare, clinical operations, or multi-location environments - Familiarity with EMR systems (e.g., Athena) or similar platforms - Exposure to working alongside data engineering teams