Data Analytics Manager

Extreme Engineering Solutions
US - Wisconsin - Verona
October 30, 2024

Extreme Engineering Solutions (X-ES) is seeking experienced Data Analytics professional to lead our growing team of Data Analysts.
This role will involve a blend of leadership, project management and hands-on analysis.
As the Data Analytics Manager, you will manage, mentor and develop your team while also contributing directly to data analysis and business intelligence projects.

Duties and Responsibilities

Be responsible for people management, hiring, onboarding and professional development of the Data Analytics team
Work closely with cross-functional teams throughout Engineering, Manufacturing and Sales to understand their data needs and deliver actionable insights and reports
Simplify complex business data into clear narratives and decisive, compelling recommendations
Manage project backlog and Kanban implementation by scoping incoming projects and facilitating work in progress
Be a technical and domain expert to your team, leading by example with best practices in data analysis, data science and business intelligence
Spend at least 50% of your time doing hands-on data analysis, creating reports and visualizations, and providing insights

Required Qualifications

Bachelor's degree in Data Science, Data Analytics, Mathematics/Statistics, Computer Science or related field
Minimum of seven (7+) years of relevant professional experience, with at least 2 years in a people management role
Advanced relational database and SQL knowledge (we use a lot of PostgreSQL and MySQL)
Strong interpersonal, communication and presentation skills, with the ability to effectively collaborate with and influence your cross-functional stakeholders
Ability to work onsite from our facility located at 9901 Silicon Prairie Parkway in Verona, WI

Desired Qualifications

Intermediate or above Python experience, including libraries/frameworks such as Pandas, NumPy, Matplotlib, plotly or similar
Data Engineering experience (e.g., designing/implementing data pipelines, ELT/ETL concepts, workflow automation, etc.)
Prior experience with Metabase, Apache Superset or other open-source data visualization and exploration tools
Dimensional data modeling experience

Compensation and Benefits

X-ES offers a competitive compensation package and excellent benefits, including:

No-deductible, low-copay group health and dental insurance (90% employer paid)
Health and wellness benefits coverage eligibility begins on the first of the month following your start date
Life insurance and long-term disability insurance (100% employer paid)
Paid time off, plus eight paid holidays a year
401(k) employer match up to 4%, subject to plan terms & waiting periods.
Roth option is available.
Participation in the 100% employee-owned Employee Stock Ownership Plan (ESOP) at no cost to employees

X-ES also takes a casual, small-business approach to company culture.
At our state-of-the-art office and manufacturing facility located in Madison's growing tech corridor, there's no formal dress code, flexible day shift scheduling, and dedicated personal workspaces.
Our employees kick back at regular company events and enjoy lunches from local pizza places and food carts.
At X-ES, we strive to offer a comfortable, relaxed environment for our employees to do their best work.

About X-ES

When "rugged enough" isn't rugged enough for embedded computing systems, industry leaders in the military, aerospace, industrial, and commercial sectors turn to Extreme Engineering Solutions (X-ES).
Because we strive to be the premier provider of mission-critical embedded products while delivering exceptional levels of customer and employee satisfaction, we hire strong contributors and give them space to thrive.
As a 100% employee-owned company, our employees both drive and directly benefit from our success.
Together, we meticulously design and build products that stand up to some of the most extreme conditions on the planet.

X-ES is located on the far west side of Madison, WI.
The company designs and manufactures rugged embedded computing solutions for a variety of applications.
For more information, visit ***.

X-ES is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other category protected by law.

All X-ES job postings and application procedures are posted in compliance with Section 39.08 of the Madison General Ordinances.

Read the full job description and apply online on the recuiter's web-site

Data Analytics Manager

Data Analytics Manager

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