Data/Analytics Engineer

Crew; Oak Park Heights (MN); Hybrid; USD 62,000 - 85,000; Full time

Benefits offered by this job

Healthcare package

Disability insurance

Life insurance

HSA/FSA

Utilization bonus

401(k) with match

Flexible time off

Parental leave

Flexible work arrangements

Job summary

Turnberry Solutions in Minnesota is seeking a data analytics associate to transform structured and unstructured data into actionable insights. The role blends analytics, data engineering, and software skills in a hybrid environment with 3-4 days on-site.

You will develop Python utilities, collaborate with engineers, and help build scalable analytics solutions while learning new tools. Turnberry offers comprehensive benefits and a supportive culture focused on growth and inclusion.

Qualifications

• Bachelor's degree in Mathematics, Statistics, MIS, Data Analytics, CS, Engineering or related quantitative discipline.
• 0-2 years of professional experience in analytics, data engineering, software engineering, data science, or related technical work.
• Working knowledge of Python for data manipulation, analysis, or automation.

Responsibilities

• Analyze, explore, and mine structured and unstructured datasets to identify trends, patterns, and opportunities
• Work with stakeholders to understand business challenges and translate them into data-driven solutions
• Develop Python-based scripts, utilities, and reusable components to support analytics and data initiatives
• Consume and integrate data from APIs and external data sources
• Apply foundational statistical, mathematical, and machine learning concepts to solve business problems
• Validate, profile, and assess data quality to ensure reliable outcomes
• Design solutions with scalability, maintainability, and future reuse in mind
• Collaborate with senior engineers and data professionals to build sustainable analytics solutions
• Document findings, methodologies, and recommendations in a clear and concise manner
• Participate in code reviews, design discussions, and continuous improvement initiatives
• Learn emerging tools, technologies, and best practices related to analytics engineering and data science
• Develop a deep understanding of the data, business context, and desired outcomes before implementing solutions

Skills

0-2 years experience

Python for data

Analytical reasoning

Data concepts

Education

Bachelor's degree in Mathematics, Statistics, MIS, Data Analytics, Computer Science, Engineering, or related quantitative discipline

Tools

Python

Job description

Duration: FTE

Location: MN-Oak Park Heights, Hybrid 3-4 days onsite

Overview: Crew helps our clients deliver change through IT project delivery, business process improvement, and operational efficiency efforts. Our high-performing consultants are natural leaders who manage a wide range of responsibilities that vary from assignment to assignment. Our consultant training programs, investment in career development, and premier client portfolio ensure constant challenge and rapid growth for our employees. Crew data analysis associates bring data insights to life with predictive and descriptive analytics, create meaningful business intelligence and data visualization dashboards, and learn data profiling and cloud data practices.

Responsibilities

• Analyze, explore, and mine structured and unstructured datasets to identify trends, patterns, and opportunities
• Work with stakeholders to understand business challenges and translate them into data-driven solutions
• Develop Python-based scripts, utilities, and reusable components to support analytics and data initiatives
• Consume and integrate data from APIs and external data sources
• Apply foundational statistical, mathematical, and machine learning concepts to solve business problems
• Validate, profile, and assess data quality to ensure reliable outcomes
• Design solutions with scalability, maintainability, and future reuse in mind
• Collaborate with senior engineers and data professionals to build sustainable analytics solutions
• Document findings, methodologies, and recommendations in a clear and concise manner
• Participate in code reviews, design discussions, and continuous improvement initiatives
• Learn emerging tools, technologies, and best practices related to analytics engineering and data science
• Develop a deep understanding of the data, business context, and desired outcomes before implementing solutions

Qualifications

• Bachelor's degree in Mathematics, Statistics, MIS, Data Analytics, Computer Science, Engineering, or a related quantitative discipline
• 0-2 years of professional experience in analytics, data engineering, software engineering, data science, or related technical work
• Working knowledge of Python for data manipulation, analysis, or automation
• Strong mathematical and analytical reasoning skills
• Understanding of core data concepts including data structures, transformations, and data quality

The salary range for this role is $62,000 to $85,000 or the hourly equivalent. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Turnberry Solutions offers benefits such as a comprehensive healthcare package (medical, dental, vision), disability and group term life insurance, health and flexible spending accounts, a utilization bonus, 401(k) with match, flexible time off for salaried employees, parental leave for salaried employees, and flexible work arrangements (all benefits are subject to eligibility requirements). No matter where or when you begin a career with Turnberry, you'll find a far-reaching choice of benefits and incentives.

At Turnberry, we are committed to creating a positive and connected work environment for all and are fully invested in and focused on hiring and growing a diverse team of high performers. We believe that uniqueness in ideas, experiences, and backgrounds make us a better Turnberry: Turnberry is an Equal Employment Opportunity employer, and recruits, employs, trains, compensates, and promotes regardless of age, ancestry, family medical or genetic information, gender identity and expression, marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics.

Americans With Disabilities Act (ADA)

Turnberry will provide reasonable accommodation with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please send an email to our Human Resources department at [e-mail].