What are the responsibilities and job description for the Senior Analytics Engineer position at Unicity USA Inc?
Company Overview:
Unicity is dedicated to developing innovative science-based products and programs that promote metabolic health and improve the quality of life for people everywhere. For over 30 years, Unicity has been dedicated to developing high-quality products that contain the vital nutrients your body needs. With the proper process, cutting-edge technology, and a mission to Make Life Better, Unicity is paving the way for a better tomorrow.
Unicity was founded with a bold mission to make healthy living a reality in an on-the-go world. Unicitys business model is person-to-person sales, which has given a personal touch to our sales and growth. Unicity currently has offices in Utah, Nevada, Wyoming, plus many more globally! This job will be located in Las Vegas, NV, and/or Provo, UT.
In addition to competitive pay, we can offer:
- Health, Dental, Vision, Life, and other benefits that begin within a month
- Paid maternity and paternity leave
- Generous vacation allowance in addition to company-paid holidays
- 401(k) with company match
- Substantial company product allowance
- Reimbursement for internet, cell phone, and gym/wellness activities
We are seeking a skilled and experienced Senior Level Analytics Engineer to join our dynamic team. The ideal candidate will play a pivotal role in advancing our business intelligence and analytics capabilities to support machine learning and advanced analytics initiatives. This role requires a deep understanding of data engineering, analytics, and the ability to work collaboratively with cross-functional teams to drive data-driven decision-making. Join our team in making the next leap into advanced analytics at Unicity.
Qualifications:
- Bachelor's degree in IT or math-related field and 7 years of experience in analytics OR Master's degree in IT or math-related field and 5 years of experience in an analytics role
- Problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills
- Expert SQL, Python, R, database management skills
- Excellent data visualization skills
- Knowledge of data architecture and structure
- Experience with machine learning, statistical modeling, predictive modeling
- Experience with AWS, Postgres, cloud-based data systems a big plus
Responsibilities:
- Model complex business problems and discover insights through statistical, algorithmic, mining, and visualization techniques
- Collect, store, and analyze data from a wide variety of sources and data structures
- Communicate results clearly and concisely to provide insight to multiple audiences
- Follow consistent practices to ensure data integrity and handle imperfections in data
- Champion the acquisition of new data sources to enhance value and fill gaps; automate collection processes; effectively process structured and semi-structured/unstructured data; proficiently integrate varied datasets; collaborate with business stakeholders to ensure solid data understanding and proper data transformation; work cross-functionally with development and engineering teams; analyze large amounts of information to discover trends and patterns; draw conclusions and gain actionable insights
- Build predictive models; propose solutions and strategies for business problems; apply the appropriate machine learning algorithm to data problems (e.g., supervised vs. unsupervised machine learning, clustering, ensemble methods, etc.); validate model results
- Work closely with engineering and BI teams to deploy models
- Develop relationships with individuals inside and outside of IT; address challenges to analytic processes and influence others to change their approach and work collectively to implement new tools/techniques; gain support from related stakeholders for analytic solutions and champion data-driven business decisions
- Apply appropriate statistical techniques to data exploration and model development/assessment; communicate complex statistical concepts to non-technical audiences; maintain skills through continuing education
- Create meaningful data visualizations to communicate results and highlight business impact; utilize various techniques and delivery methods of visualization that are audience appropriate
- Effectively collaborate with others to deliver efficient and high-quality code; implement solid validation processes to ensure consistency and minimize errors; champion more efficient ways to produce code iteratively; maintain skills through continuing education; stay up to date on new technologies/tools; seamlessly transition between languages to apply the right approach to the problem
