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Data & Business Intelligence Analyst

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.  


HHAeXchange is seeking a Data & Business Intelligence Analyst to join our Business Operations team. Reporting to the Sr. Manager of Data, Analytics, & Business Intelligence, this role will drive data-driven decision-making across key internal functions.


The Analyst will manage the complete data lifecycle, from data engineering through analysis and visualization:

• Build and automate ETL pipelines

• Design and maintain data models

• Create automated reporting solutions and BI dashboards

• Conduct deep-dive analyses to uncover actionable insights

• Partner with stakeholders to understand business needs and deliver data-driven solutions


Beyond technical responsibilities, the role requires strong partnership skills to collaborate with cross-functional teams and leadership. The ideal candidate will:

• Understand and translate diverse stakeholder data needs into actionable solutions

• Champion data governance within their domain

• Stay current with analytics and BI industry trends to drive continuous improvement


This position balances technical expertise with strong business partnership, requiring someone who can both execute and influence across the organization.


To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Essential Job Duties
  • Design, deploy, and manage robust data models, reports, and dashboards.
  • Conduct scheduled and ad-hoc data analyses to identify opportunities and risks, providing evidence-based recommendations to boost productivity, improve performance, and enhance operational efficiency.
  • Automate routine reporting tasks to streamline processes.
  • Train staff and leadership on interpreting and operationalizing dashboards and reports.
  • Develop a feedback loop with functional support staff and leadership to continuously refine dashboards, analytics models, and reporting tools.
  • Collaborate with Business Operations and functional support leadership to define key performance indicators (KPIs) and metrics.
  • Drive a culture of standardization, continuous improvement, and evidence-based decision-making.
  • Proactively monitor and analyze leading and lagging indicators to inform strategic planning.
  • Identify opportunities to elevate operational sophistication and business intelligence maturity through advanced analytics, employing statistical methods, machine learning, and AI.


Other Job Duties
  • Other duties as assigned by supervisor or HHAeXchange leader.


Travel Requirements
  • Travel up to 10%, including overnight travel


Required Education, Experience, Certifications, and Skills
  • Bachelor’s degree in Computer Science, Economics, Engineering, Finance, Math, or Statistics.
  • 2+ years of professional experience, with at least 1 year of analytical experience.
  • Prior experience in a SaaS or consulting environment.
  • Ability to deliver impactful data solutions in a format understandable to a non-technical audience.
  • Strong analytical and problem-solving capabilities with ability to understand the "big picture" yet preserve a keen eye for details.
  • Experience with database query languages, such as SQL/Snowflake/Postgres.
  • Experience with Microsoft Excel, including use of Array formulas, Index/Match, etc.
  • Experience with business intelligence tools such as Tableau/Qlik/PowerBI.
  • Strong verbal and written communication skills.
  • Ability to multitask and produce consistent results in a fast-paced environment with multiple deadlines and priorities.
  • Self-starter with a proactive approach to identifying and solving challenge.


The base salary range for this US-based, full-time, and exempt position is $85,000-100,000 not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.

 

This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.


HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.

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CEO of HHAeXchange
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$100000K

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What You Should Know About Data & Business Intelligence Analyst, HHAeXchange

At HHAeXchange, we're on a mission to revolutionize home and community-based care, and we need a talented Data & Business Intelligence Analyst to help us achieve our goals. As the leading technology platform in this space, we value innovation and teamwork. In this role, you'll dive into the data realm, taking charge of the entire data lifecycle—from engineering ETL pipelines to creating insightful BI dashboards. Your analytical skills will shine as you conduct deep-dive analyses, helping us uncover actionable insights that can drive our strategies forward. Collaboration is key; you'll partner with a variety of stakeholders, helping them translate their data needs into impactful solutions. Whether it’s defining key performance indicators (KPIs) or automating reporting tasks, your contributions will be essential in boosting productivity and enhancing operational efficiency. We value ongoing improvement, so you'll stay current with industry trends, championing data governance and refining our analytics models. If you're someone who can blend technical expertise with a knack for business partnership, and if you thrive in a fast-paced, dynamic environment, we would love to talk with you about this exciting opportunity at HHAeXchange!

Frequently Asked Questions (FAQs) for Data & Business Intelligence Analyst Role at HHAeXchange
What are the key responsibilities of a Data & Business Intelligence Analyst at HHAeXchange?

As a Data & Business Intelligence Analyst at HHAeXchange, you'll be responsible for managing the entire data lifecycle, which includes building and automating ETL pipelines, designing robust data models, and creating BI dashboards. Additionally, conducting analyses to identify opportunities and risks and partnering with stakeholders to provide actionable insights are crucial duties.

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What qualifications are required for the Data & Business Intelligence Analyst position at HHAeXchange?

To qualify for the Data & Business Intelligence Analyst position at HHAeXchange, candidates need a Bachelor's degree in a relevant field such as Computer Science or Statistics, along with at least 2 years of professional experience, including 1 year in an analytical capacity. Familiarity with data querying languages, business intelligence tools, and strong communication skills are also essential.

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How does HHAeXchange promote a culture of data-driven decision-making for Data & Business Intelligence Analysts?

At HHAeXchange, we cultivate a culture of data-driven decision-making by enabling Data & Business Intelligence Analysts to proactively monitor key performance indicators, automate reporting tasks, and collaborate with cross-functional teams. Analysts are encouraged to provide evidence-based recommendations and drive continuous improvements in our processes.

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What tools will the Data & Business Intelligence Analyst use at HHAeXchange?

The Data & Business Intelligence Analyst at HHAeXchange will utilize various tools such as SQL for database queries, Microsoft Excel for data manipulation, and business intelligence platforms like Tableau or PowerBI for creating insights and visualizations that drive business strategies.

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What opportunities for growth and training are available for Data & Business Intelligence Analysts at HHAeXchange?

HHAeXchange offers ample opportunities for growth and training for Data & Business Intelligence Analysts. Employees can engage in continuous learning about the latest analytics trends, receive training on dashboard operationalization, and take part in initiatives aimed at refining their skill set and enhancing their contributions to the organization.

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Common Interview Questions for Data & Business Intelligence Analyst
Can you describe your experience with SQL and how you've used it in previous roles as a Data & Business Intelligence Analyst?

In your response, highlight specific projects where you utilized SQL to extract and manipulate data. Describe the types of databases you've worked with and any complex queries you’ve written, showcasing your ability to derive insights from data effectively.

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How do you approach building and automating ETL pipelines?

Explain your methodology for designing ETL pipelines, including the tools you typically use, your approach to data quality checks, and how you ensure efficient data flow from source to destination. Emphasize your attention to detail and understanding of data governance aspects.

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What strategies do you employ to ensure that your analyses are understandable to a non-technical audience?

Discuss techniques such as simplifying complex concepts, using visual aids (like dashboards), and how you tailor your communication style based on your audience. Providing examples of successful stakeholder interactions can strengthen your answer.

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How do you prioritize multiple data requests from different stakeholders?

Describe your method for prioritizing tasks—mention any frameworks you use for assessing urgency and importance, how you manage expectations, and how you communicate your progress to stakeholders to keep them informed.

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Can you provide an example of a time you overcame a significant challenge while working on a data project?

Share a specific instance where you faced difficulties in a data project, how you approached the problem, steps you took to resolve it, and what the outcome was. Emphasize your problem-solving skills and resilience.

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How do you stay updated with the latest trends in data analytics and business intelligence?

Discuss your methods for keeping current with industry trends such as attending webinars, reading relevant literature, participating in professional networks, and how you apply these learnings to your work at HHAeXchange.

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What role does collaboration play in your work as a Data & Business Intelligence Analyst?

Highlight the importance of cross-functional collaboration in your role. Provide examples of successful partnerships and how they led to impactful decision-making or improved outcomes.

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Describe your experience with visualization tools like Tableau or PowerBI.

Detail your experience with specific visualization projects, focusing on how you designed visually engaging and informative dashboards. Highlight your understanding of the user-centric design principles and their importance in delivering insights.

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What techniques do you use to automate routine reporting tasks?

Explain the automation tools or scripts you’ve used to streamline reporting processes. Discuss the impact these automations had on efficiency and accuracy and how this allowed you to focus on more complex analyses.

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Can you discuss a time when your data analysis led to a significant business decision?

Provide a compelling example of a project where your insights directly influenced a business decision. Share the analysis you performed, the recommendations you made, and the results that followed, emphasizing the value of data-driven decision-making.

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Full-time, on-site
DATE POSTED
December 25, 2024

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