Senior Data Analyst
Senior Data Analyst
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Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a Senior Data Analyst to join our team and help build and develop the foundations for the data analytics practice at Mae. You will play a critical role in establishing and scaling our data processes and business intelligence systems specifically those within the product and engineering organization. This position requires a deep understanding of data analysis a strong technical background and experience working with modern data tools. In addition to contributing directly to our data vision and roadmap you will have the opportunity to help shape the future team that will keep driving this vision forward.
We are a small engineering team so ideally this will be a contracttohire role while we ramp up our data analytics practices. This role will report directly to the VP of Engineering.
Role and Responsibilities
- Define and develop the metrics we use to measure our business performance. Have strong opinions on the right way to measure performance and use them to guide the engineering team in building the right telemetry.
- Product metrics expertise: Become the authority on product usage sales and customer behavior data. Deeply understand key performance indicators (KPIs) identify trends and patterns and provide actionable insights to guide product strategy and roadmap planning.
- Datadriven storytelling: Translate complex data into clear and compelling narratives for both technical and nontechnical audiences.
- Conduct adhoc analysis to support other departments (time permitting)
What success looks like in this role:
- Reduce the amount of time teams spend manually pulling data to inform decisions
- Develop dashboards and analyses that enable the team to hit their engagement impact and revenue targets youre successful when you help your team be successful!
Qualifications :
- 5 years of experience in data analysis ideally in a productfocused environment.
- You have strong user empathy you can deeply understand the core issues stakeholders are having and translate them into solutions that meaningfully improve their ability to operate. You understand how to analyze data in techenabled systems.
- Strong analytical thinking capable of digging deep into business problems to uncover hidden insights and areas of opportunity.
- A selfstarter mentality with the ability to prioritize meet deadlines and identify opportunities with limited oversight
- Expertlevel knowledge of SQL experience with advanced analytics tools like Python R or similar for data manipulation and statistical analysis.
- Expertise in building and maintaining dashboards and reports using standard BI tools (we use Metabase Excel)
- Experience with A/B testing hypothesis testing and statistical analysis to evaluate product and feature impact.
- Experience working with healthcare data sets (EMR and claims) a plus
Additional Information :
Technology we use
Typescript React InertiaJS NestJS TypeORM Postgres Terraform
Benefits include:
- Competitive salary and equity package
- Healthcare benefits
- 401K with matching
- Flexible work location
- Generous time off
We are currently only hiring US based applicants and are unable to sponsor visas.
Additional Information:
- 1099 contracttohire or full time employment
- 40 hrs/weekly (Monday Friday)
- Salary range: $110000 $150000 annually depending on experience and qualifications
Mae Health Participates in EVerify
This employer participates in EVerify and will provide the federal government with your Form I9 information to confirm that you are authorized to work in the U.S. If EVerify cannot confirm that you are authorized to work this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you including terminating your employment. Employers can only use EVerify once you have accepted a job offer and completed the Form I9.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
