The Senior Business Intelligence Analyst position serves as a critical link between our internal business teams, external clients, and the Business Intelligence Engineering team. This highly collaborative, client-facing role translates business and client reporting requirements into accurate, actionable reports and dashboards, supporting the launch and ongoing operations of our patient services programs. Our technology environment includes Salesforce, Snowflake, dbt, Fivetran, and Tableau. This position focuses on reporting requirements, data quality validation, and visualization development, partnering with BI Engineers who are responsible for data integration, transformation, and underlying infrastructure. Core Duties/Responsibilities Business Requirements &amp; Stakeholder Engagement <ul><li>Lead requirements-gathering sessions with internal stakeholders and external clients to define reporting objectives, KPIs, and data requirements.</li><li>Translate requirements into documented reporting specifications, including data definitions, calculation methodologies, business rules, and acceptance criteria.</li><li>Manage requirements through the development lifecycle, including stakeholder reviews, testing, and final acceptance. </li></ul>Data Quality, Validation &amp; Analysis <ul><li>Validate the accuracy, completeness, and integrity of data in reports and dashboards, using SQL to investigate discrepancies and reconcile results across source systems and the data warehouse.</li><li>Develop and execute validation test cases; document discrepancies and coordinate remediation with BI Engineers and data owners.</li><li>Establish repeatable validation and quality assurance procedures to improve reporting reliability and reduce manual testing. </li></ul>Reporting &amp; Dashboard Development <ul><li>Design, develop, and maintain Tableau dashboards and reports that communicate operational performance, patient services program metrics, and client-specific KPIs; develop Salesforce reports and dashboards as needed.</li><li>Apply data visualization best practices, leveraging curated datasets and approved data models from BI Engineering.</li><li>Perform user acceptance testing, coordinate stakeholder approvals, support deployment, and maintain documentation of report definitions and business logic. </li></ul>Collaboration, Governance &amp; Continuous Improvement <ul><li>Serve as primary liaison between business stakeholders, external clients, and BI Engineering; define requirements for new data elements and enhancements.</li><li>Support reporting governance through standardized KPI definitions, documented business rules, and consistent dashboard design, ensuring appropriate handling of protected health information (PHI).</li><li>Streamline recurring reporting processes, support reporting for new patient services program launches, and train stakeholders on dashboard use and self-service reporting. </li></ul>Skills &amp; Requirements Required Qualifications <ul><li>5+ years of experience in business intelligence, data analytics, or reporting, with demonstrated ownership of reporting deliverables.</li><li>Strong experience gathering and documenting business and reporting requirements with internal stakeholders and/or external clients.</li><li>Hands-on Tableau proficiency, including interactive dashboards, calculated fields, filters, and parameters.</li><li>Strong SQL proficiency, including data validation and reconciliation of reporting results.</li><li>Demonstrated data quality validation experience and ability to translate business needs into clear specifications, KPI definitions, and acceptance criteria.</li><li>Ability to independently manage deliverables from requirements gathering through development, testing, and stakeholder acceptance.</li><li>Strong analytical and problem-solving skills, attention to detail, and excellent communication skills for technical and nontechnical audiences.</li><li>Ability to manage competing priorities and deliver results in a fully remote, fast-paced environment. </li></ul>Preferred Qualifications <ul><li>Direct experience with external clients to define and deliver reporting requirements.</li><li>Healthcare, pharmaceutical, patient services, or other regulated-industry reporting experience; familiarity with HIPAA and PHI handling.</li><li>Experience with Salesforce CRM reporting and dashboards.</li><li>Experience with Snowflake or another cloud data warehouse; working knowledge of dbt and Fivetran.</li><li>Experience developing reporting templates, data dictionaries, or KPI definitions, or automating recurring reporting and validation. </li></ul>Education, Certifications And Experience <ul><li>Bachelor&apos;s degree in Business Analytics, Information Systems, Data Science, Computer Science, or a related field, or equivalent relevant professional experience.</li><li>Tableau, Salesforce, or Business Analysis certification is a plus. </li></ul>Physical Requirements <ul><li>As a remote-forward organization, this position operates in a virtual professional office environment and teleworking from the employee&#x2019;s home address listed in their employment file.</li><li>Prolonged periods of sitting at a desk and working on a computer</li><li>Keyboarding</li><li>Speaking</li><li>Must be able to lift up to 15 pounds at times</li><li>Flexibility of working hours to support activities across EST to PST zones</li><li>Minimal travel possible </li></ul>Our PRO-spectus Culture Philosophy At PRO-spectus we have created a culture that is supportive, dedicated, and teamwork driven. We celebrate each other&#x2019;s joys in personal life and professional accomplishments, promoting meaningful relationships and friendships. Our employees bring strength of mind and spirit to make the extraordinary happen every day. With humility and compassion at our core, PRO-spectus is proud of our relentless focus towards the higher purpose of improving the lives of patients we support. We recognize it takes a lot of people working together with a common goal to make spectacular happen, and we never forget that at the heart of our company are the people who make it work. PRO-spectus is an Equal Opportunity / Affirmative Action employer. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, protected veteran status, marital status or other protected status under federal, state or local laws. At PRO-spectus, we are deeply committed to pay transparency and equity. The salary range for this position is $90,000 - 110,000 based on experience and qualifications, with the final offer reflecting skills and other job-related factors. Beyond competitive pay, we offer a comprehensive and generous benefits package designed to support your well-being and work-life balance. Our benefits include robust medical, dental, and vision plans; life insurance and disability coverage; and tax-advantaged savings accounts. We also provide an Employee Assistance Program, home office benefits, and unique perks like an Employee Ownership Program. With paid time off, holidays, bereavement leave, and a 401(k)-retirement plan with employer matching, PRO-spectus prioritizes your financial and personal security. Plus, you may be eligible for a performance-based bonus opportunity. Join PRO-spectus, where your career growth, well-being, and contributions truly matter!

Sr BI Analyst – Tableau, SQL, Healthcare Analytics & Client Reporting

About the Role We are looking for an experienced Senior Data Analyst to turn complex data into meaningful insights that support product performance, program outcomes, operational effectiveness, and business decisions. This is a fully remote, full-time position open to candidates in the United States. You will work closely with Product, Operations, Client Success, Analytics Engineering, Data Engineering, and business leadership to evaluate performance, identify improvement opportunities, and establish reliable ways to measure success. The role requires strong SQL skills, hands-on experience with Databricks or a comparable cloud data platform, and the ability to turn analytical findings into clear, actionable recommendations. Key Responsibilities <ul><li>Partner with Product Managers and business leaders to define KPIs, business metrics, and measurement frameworks for products, programs, and strategic initiatives.</li><li>Analyze product performance, utilization, adoption, engagement, financial results, and member behavior.</li><li>Conduct in-depth analyses to identify trends, anomalies, opportunities, and the key drivers of business performance.</li><li>Evaluate new product capabilities, program changes, and business initiatives using data-driven approaches.</li><li>Develop ongoing measurement strategies to track product and program performance over time.</li><li>Use advanced SQL in Databricks to analyze large, complex datasets.</li><li>Combine data from multiple sources to build comprehensive views of customers, members, products, and programs.</li><li>Perform exploratory analysis, segmentation, cohort analysis, trend analysis, variance analysis, and root-cause analysis.</li><li>Investigate unexpected changes in performance and identify meaningful patterns, relationships, and underlying causes.</li><li>Translate analytical findings into practical business recommendations and help stakeholders determine appropriate next steps.</li><li>Collaborate with Analytics Engineering and business stakeholders to establish consistent metrics and analytical definitions.</li><li>Identify data quality, availability, and modeling issues that may affect analytical results.</li><li>Work with Data Engineering and Analytics Engineering teams to improve underlying datasets and analytical models.</li><li>Validate analytical datasets and ensure metrics accurately reflect business processes.</li><li>Contribute analytical and business requirements for reusable Gold-layer datasets and analytical data products.</li><li>Develop recurring analytical views and reports that help Product and business teams monitor performance.</li><li>Support customer-facing reporting with accurate, explainable, and consistent metrics.</li><li>Convert recurring analytical requests into standardized, reusable solutions where appropriate.</li><li>Present findings through clear visualizations, presentations, and recommendations.</li><li>Support business reviews, product reviews, client discussions, and strategic planning.</li><li>Build a strong understanding of the products, programs, and business areas you support.</li><li>Act as a trusted analytical partner to Product Managers and business leaders, helping define business questions and determine how data can inform decisions.</li><li>Proactively identify opportunities for analysis, challenge assumptions, and distinguish between symptoms, root causes, and actionable improvements.</li><li>Communicate analytical findings clearly, including relevant assumptions, limitations, and uncertainties.</li></ul> Required Qualifications <ul><li>At least five years of experience in data analytics, product analytics, business analytics, or a related field.</li><li>Advanced SQL skills and experience working with large, complex datasets.</li><li>Strong hands-on experience with Databricks or a comparable modern cloud data platform.</li><li>Demonstrated experience supporting product, program, or business performance analytics.</li><li>Strong understanding of segmentation, cohort analysis, trend analysis, variance analysis, root-cause analysis, and exploratory analysis.</li><li>Experience defining KPIs, business metrics, and measurement frameworks.</li><li>Strong data validation, analytical thinking, and problem-solving skills.</li><li>Ability to translate ambiguous business questions into structured analytical approaches.</li><li>Excellent written and verbal communication skills, including the ability to present findings to technical and non-technical audiences.</li><li>Ability to collaborate effectively with Product, Engineering, Operations, Analytics, and business teams.</li></ul> Ideal Candidate The ideal candidate goes beyond preparing reports or responding to one-off requests. You should be comfortable writing complex SQL in Databricks, investigating unexpected changes in product performance, defining KPIs with Product Managers, identifying the root causes of business problems, and presenting clear recommendations to leadership. You will have the opportunity to take analytical ownership of a product or program and help shape business decisions through reliable data and meaningful insights. Location &amp; Work Arrangement <ul><li>Location: United States</li><li>Work Arrangement: 100% Remote</li><li>Employment Type: Full-Time</li></ul> Why Join Us? <ul><li>Work on high-impact product and business analytics initiatives.</li><li>Partner directly with Product teams and business leadership.</li><li>Analyze large, complex datasets using modern data technologies.</li><li>Influence how products and programs are measured, evaluated, and improved.</li><li>Contribute analytical insights that directly inform business decisions.</li><li>Work collaboratively across teams in a role that values problem-solving and data-driven recommendations.</li></ul> How to Apply Interested candidates can apply for the Senior Data Analyst position or reach out to learn more about the opportunity.

Data Analyst, Sr - Remote

Senior Data Analyst (Strategy &amp; Program)Location: Remote, United StatesWork Arrangement: Fully RemoteBase Salary: $100,000&#x2013;$140,000Work Authorization: U.S. Citizens and Green Card Holders Only About the CompanyWe are partnering with a mission-driven nonprofit organization focused on addressing complex social and economic challenges through data, research, and evidence-based decision-making.The organization works closely with public agencies, community organizations, and institutional partners to identify opportunities for meaningful, measurable improvements in areas such as housing, healthcare, economic mobility, and public safety.By combining rigorous analytics with real-world implementation, the organization helps decision-makers understand complex challenges, prioritize resources, and develop strategies that improve outcomes for underserved communities. About the RoleWe are seeking Senior Data Analysts to join a growing Strategic Analytics team, with opportunities across both Strategy and Program Analytics. These are hands-on analytical positions focused on solving complex, real-world problems using public, administrative, and internal datasets. Both roles involve navigating messy or incomplete data, developing reproducible analyses, and translating findings into actionable recommendations that influence important organizational and program-level decisions.Depending on experience and background, candidates may align with one of two areas:<ul><li>Strategy Analytics: Work across multiple initiatives, tackling broad and often ambiguous questions from organizational leadership and external stakeholders. This track emphasizes advanced statistical methods, public and administrative data expertise, independent analytical judgment, and developing evidence-based recommendations that inform broader strategic priorities.</li><li>Program Analytics: Serve as a dedicated analytical partner to a specific program, such as housing, maternal health, or public safety. This track emphasizes hands-on analytics, understanding program objectives and stakeholder needs, and using data to improve ongoing program strategy, operations, and decision-making.</li></ul>Both opportunities offer significant analytical ownership, direct exposure to decision-makers, and the ability to apply technical skills to challenges with meaningful community impact. What You&apos;ll Do<ul><li>Partner with organizational leaders, program teams, and external stakeholders to translate complex questions into structured analytical projects.</li><li>Identify, collect, clean, and integrate data from publicly available, administrative, and internal sources.</li><li>Analyze complex, messy, and incomplete datasets to identify trends, relationships, and opportunities for improvement.</li><li>Use Python, SQL, and relevant analytical tools to develop models, investigate problems, and produce reliable analytical outputs.</li><li>Apply appropriate statistical and quantitative methods to evaluate data, test assumptions, and support evidence-based recommendations.</li><li>Develop reproducible analyses, well-documented code, decision memos, and analytical summaries that support leadership and program decisions.</li><li>Evaluate data quality, analytical limitations, and the reliability of findings to ensure conclusions are supported by available evidence.</li><li>Translate complex analytical findings into clear, practical recommendations for stakeholders.</li><li>Support strategic initiatives or become a dedicated analytical partner to a program team, depending on role alignment.</li></ul> What We&apos;re Looking For<ul><li>3&#x2013;5+ years of applied analytics experience, ideally within a top-tier strategy consulting firm, analytics consulting firm, or economic consulting firm. Candidates who have led substantial analytical work within high-growth startups or agencies will also be considered.</li><li>Strong quantitative and analytical foundation, with experience applying statistical or analytical methods to complex, real-world problems.</li><li>Professional experience using Python or SQL, including querying, building, and delivering analytical solutions.</li><li>Hands-on experience working with complex, messy datasets, including data cleaning, integration, validation, and interpretation.</li><li>Ability to translate ambiguous problems into structured analytical approaches and develop actionable recommendations that support strategic or operational decisions.</li><li>Experience communicating analytical findings to stakeholders, helping leadership understand insights, limitations, and potential courses of action.</li></ul>Additional emphasis for Strategy Analytics:<ul><li>Strong statistical expertise, including regression, sampling and weighting, hypothesis testing, missing-data analysis, and interpreting margins of error.</li><li>Hands-on experience with complex public or administrative datasets, with approximately six months or more of relevant experience.</li><li>Experience developing reproducible, well-commented analytical code.</li><li>Strong independent analytical judgment, including the ability to select appropriate methods and determine what conclusions the available evidence can support.</li></ul> Nice to Have<ul><li>Experience with public and administrative datasets such as Census/ACS, CDC, Department of Education, criminal justice, public health, or other government data sources. Required for the Strategy track, preferred for Program Analytics.</li><li>Experience with program evaluation, quasi-experimental methods, or causal inference.</li><li>Familiarity with R for statistical analysis or research.</li><li>Previous experience in housing, maternal health, public safety, criminal justice, or related social impact areas.</li><li>Geographic or spatial analysis experience.</li><li>Data visualization and reporting experience.</li><li>Background working with nonprofit organizations, government agencies, or public policy research.</li><li>Experience using AI-assisted research and analytical workflows, including LLM-assisted coding, thematic analysis, and output validation.</li></ul> Why This Role?This opportunity combines challenging analytical work with the ability to influence meaningful, real-world decisions.Rather than focusing primarily on routine reporting or dashboard maintenance, you will help answer complex questions, evaluate evidence, and develop insights that influence how organizations and public agencies prioritize resources and improve outcomes.You will join a small Strategic Analytics team where your contributions will have direct visibility, with opportunities to take ownership of analytical projects from initial problem definition through final recommendations.Whether your strengths lie in advanced statistical analysis and cross-organizational strategy or hands-on analytics and deep program partnership, these roles offer the opportunity to apply your expertise to problems that directly affect communities. Location &amp; ScheduleThis is a fully remote opportunity within the United States, with a base salary range of $100,000&#x2013;$140,000.Applicants must be U.S. Citizens or Green Card Holders.

Senior Data Analyst

Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. The team Founded in 2011, Kraken is one of the world&apos;s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We&apos;re looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you&apos;ll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You&apos;ll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives. The opportunity <ul><li>Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic</li><li>Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication</li><li>Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows</li><li>Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes</li><li>Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time</li><li>Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results</li><li>Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems</li><li>Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards. </li></ul>What You Bring <ul><li>7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment</li><li>Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems</li><li>Strong Python and SQL skills, with experience building and supporting production data or analytical systems</li><li>Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making</li><li>Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD</li><li>Solid statistical foundation; ML exposure is a strong plus</li><li>Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards</li><li>Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders</li><li>You believe wholeheartedly in the values outlined in Kraken&apos;s Tentaclements document</li><li>A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics</li><li>Based in Canada, the US, or Brazil, and fluent in English </li></ul>Nice to haves <ul><li>Fraud detection, AML, anomaly detection, or other risk applications</li><li>Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack</li><li>Transaction pattern analysis, customer segmentation, and detection threshold tuning</li><li>Developing or productionising machine learning models, including experiment tracking and performance monitoring</li><li>Working with sparse or delayed feedback from investigations to evaluate and improve detection</li><li>Explainability, auditability, and change control in regulated environments </li></ul>Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Our commitment Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don&apos;t fully meet the listed requirements, especially if you&apos;re passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don&apos;t tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice Compensation Range: $110.4K - $220.8K

Sr. Data Analyst, Compliance

This is a Fully Remote Job About Our Client:The organization operates in the experience innovation industry, partnering with recognized global brands to transform customer experiences. It addresses challenges in delivering impactful digital solutions by fostering continuous learning and collaboration across a borderless, global framework. The program emphasizes innovation, shared values, and teamwork to drive meaningful industry change. About the Opportunity:The DATA ANALYST SR role is designed to lead significant reporting, dashboarding, and performance analysis initiatives that inform business decisions. This position plays a key role in translating complex business questions into actionable insights, supporting stakeholders in understanding performance and identifying opportunities for improvement. The role contributes to the organization by ensuring accurate, consistent analytics outputs and improving reporting processes. Responsibilities:<ul><li>Lead development and management of dashboards and reporting solutions</li><li>Translate business questions into structured analytics and reporting requirements</li><li>Analyze data to identify trends, anomalies, and business drivers</li><li>Manage data transformation and modeling for scalable analytics</li><li>Define and maintain consistent business logic for metrics and KPIs</li><li>Validate data quality and troubleshoot reporting issues</li><li>Present clear findings and recommendations to stakeholders</li><li>Support discussions by explaining report logic and performance changes</li><li>Collaborate with cross-functional teams to align analytics with business needs</li><li>Identify improvements in reporting structure and documentation</li><li>Adhere to privacy, measurement, and data-quality standards</li></ul> Requirements:<ul><li>3+ years of experience in digital analytics, reporting, and performance measurement</li><li>Ability to independently manage recurring analytics workstreams</li><li>Strong understanding of data structures, joins, and dashboard design</li><li>Skill in converting data into clear, business-relevant insights</li><li>Analytical problem-solving to investigate anomalies and performance drivers</li><li>Knowledge of semantic modeling and consistent business definitions</li><li>Balance technical accuracy with usability in reports</li><li>Strong English communication skills for technical and non-technical audiences</li><li>Detail-oriented approach to validation, QA, and documentation</li><li>Experience working across distributed teams and time zones</li><li>Proficiency in AI-assisted analytics tools with disciplined oversight</li></ul> Pay Range and Compensation Package:<ul><li>The pay range and compensation package for this role will be determined based on the candidate&apos;s experience, skills, and other relevant factors.</li></ul> Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Data Analysis jobs in Charlotte, NC

Companies hiring for Data Analysis in Charlotte, NC

Data Analysis in other regions

More jobs in Charlotte, NC

Data Analysis jobs in Charlotte, NC

Companies hiring for Data Analysis in Charlotte, NC

Related searches

Data Analysis in other regions

More jobs in Charlotte, NC