Senior Analytics Engineer

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. Unicity’s 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
• Flexible work schedule

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