What are the responsibilities and job description for the Data Analytics Engineer position at Pinnacle Group?
Job Description
Responsibilities
Basic Qualifications
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.
- Build data models, data visualizations and automated analytics that operationalize insights across the business
- Create, deliver and continuously improve our business measurement solutions
- Partner closely with business stakeholders to identify and unlock opportunities
- Be the primary partner for cross-functional stakeholders to define and understand key enterprise KPIs and business metrics
- Use internal and external analytics tools and scripting languages to access and analyze multivariate data
- Translate complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria and/or aggregations
- Translate business requirements into technical specifications and explain complex analysis simply through informative and well-organized presentations that contribute to overall business goals
- Drive the development of prioritized analytics solutions including problem definition, solution design and execution
- Build intuitive presentations, interfaces, infographics and visualizations to create a data-driven narrative in partnership with our Strategic Planning and Marketing stakeholders
- Provide ongoing reporting and analysis to inform and support business, product and marketing decisions
Basic Qualifications
- 5 years of hands-on analytical work experience with SQL and/or R/Python
- Proficiency with SQL
- High familiarity with data platforms and applications such as Databricks, Datorama, Snowflake, Vertica, Tableau
- Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
- Experience with creating, executing and analyzing complex AB/MVT test constructs in order to test stakeholder hypotheses
- Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
- Strong experience in documenting the data requirements, data strategy, data rules (standardization, cleanse, and validation)
- Perform root-cause analysis to identify patterns in financial and customer acquisition data sets
- Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with the possible solutions, document the changes, and communicate organizational impact
- Ability to evaluate risks and provide recommendations in a timely manner
- Explain data anomalies, develop data visualizations and reporting to drive key messaging and recommendations
- Familiarity with data exploration and data visualization tools like Tableau, Power BI. It's a plus if you can share a portfolio of clear, intuitive and insightful visualizations
- Ability to think strategically, analyze and interpret marketing acquisition information
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.
Salary : $65 - $0
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