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Help At Home

Business Intelligence Analyst Job at Help At Home in Chicago

Help At Home, Chicago, IL, US


Job Description

Job Description

 

Help at Home is the leading national provider of in-home personal care services, where our mission is to enable individuals to live with independence and dignity at home. Our team supports 66,000 clients monthly with the help of 53,000 compassionate caregivers across 12 states. We’re looking for people who care about others, who are willing to listen, lean in and make impactful change. Each role at Help at Home can have a positive impact in supporting our caregivers and clients. If you are someone who leads with passion and integrity and are looking to join a rapidly growing, industry leading team, Help at Home may be a good fit for you.

Job Summary:
The Business Intelligence Analyst is an integral part of the Business Intelligence team. This role will support a variety of functional areas by helping answer critical business questions based on data insights. Additionally, this role will provide analysis and expertise to help the business make strategic decisions and drive growth.

*This is a REMOTE position.

As a key member of the team:
  • You are flexible and can embrace change
  • You value progress over perfection
  • You care about your work, the team you’re on, and the people we are helping
  • You make it a priority to get to know the people around you – build relationships with your colleagues and business partners
  • You say what needs to be said, while considering how it’ll affect culture and output
  • Hold others to a high standard
 Essential Duties and Responsibilities:
  • Develop, maintain dashboards used by cross functional department leads that drive business decisions.
  • Improve existing reports that are deemed business critical.
  • Analyze ad hoc data to provide insights to key cross functional teams including but not limited to; Operations, HR, IT, Finance, Accounting, and Compliance.
  • Collaborate closely with the Datawarehouse team to develop standard reports that can be regularly utilized by the business.
  • Problem solve data anomalies to diagnose root cause of the discrepancy and help identify a solution.
  • Compiles and contributes to maintaining accurate supporting documentation such as data dictionaries that will help the business digest new business insights.
  • Build effective relationships with all cross functional teams.
  • Performs other related duties as assigned.

Required Skills/Abilities:
  • Strong analytical skills and highly detail oriented. 
  • Ability to translate technical details into end-user language.
  • A natural problem solver with a desire to “dig into the data” and understand the how the insights impact the business.
  • Demonstrated ability to be analytically proactive and solution oriented. 
  • Proven track record thriving in a performance metric centric role. 

Education and Experience:
  • Bachelors degree in Business, Statistics, Data Analytics, Finance, Economics or related field. 
  • Two (2) + years of experience in a financial analyst, business intelligence, or data analyst role.
  • Advanced in all Microsoft Office software, specifically, PowerBI, and Excel.
  • Intermediate to advanced SQL experience.
  • Predictive analytics experience a plus.
  • Snowflake experience a plus. 


Physical Requirements:

  • Prolonged periods sitting at a desk and working on a computer
  • Ability to travel 10% of time; may fluctuate based on business needs
  • Majority (90%) of work is conducted indoors in air-conditioned or well-ventilated facilities.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions upon request.

Help At Home is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or religion or other legally protected status.

Data Security and Privacy Statement

At Help at Home, we prioritize protecting your personal information during the hiring process. We comply with all relevant data privacy regulations, including HIPAA and SOX where applicable. Your data will only be used to assess your employment suitability and won't be shared with unauthorized parties.

We use strong security measures to protect your information from unauthorized access or disclosure. By submitting your application, you consent to this process. You can access, modify, or request deletion of your data by contacting us.

Employees must adhere to our data protection policies and legal requirements to safeguard sensitive information.

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