Capillary Technologies
Manager Data Analytics
Capillary Technologies, Minneapolis, Minnesota, United States, 55400
Brierley | Capillary is seeking a Manager, Data Analysis to join our Consumer Insights Analytics team, part of the Consulting organization.
The person in this role will quickly be empowered to own projects. The person in this position is expected to be comfortable working with relational databases to provide actionable business insights. This may require manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. This person will be client-facing and explaining results and business impact to clients. Additionally, this position may be responsible for some data science projects, such as predictive models for audience targeting.
The ideal candidate will demonstrate
a) passion for solving difficult business problems using quantitative data-driven methods;
b) keen interest in communicating complex quantitative analysis in a clear, precise, and actionable manner;
c) acumen to tell a story through presentations, reports and/or dashboards;
d) curiosity to understand and learn how to apply data within relational databases;
e) strong understanding of the 'scientific method' and its role in gathering business insights and supporting decision making; and
f) the ability to work independently throughout the process from requirements gathering to delivering results to clients and internal stakeholders.
Work experience with transactional data is a plus.
Responsibilities
- Answer business questions by using appropriate methodology with available data.
- Recommend analytic approaches to make data-driven decisions.
- Interpret the results of analyses and communicate findings to internal and external stakeholders.
- Recommend actions for the business based on findings from analytics.
- Time management across requests to ensure on-time delivery.
- Explore and evaluate available data for cleanliness and functional usage.
- Collaborate within a cross-functional environment that includes internal stakeholders (Consumer Insights, Strategy, and Client Success functions) as well as external clients/stakeholders.
- Develop 'best practices' for answering frequently raised business questions.
- This position may have one direct report.
Requirements
- 5+ years of work experience in an analytics role
- 5+ years of work experience with querying relational databases (e.g. SQL)
- Competency manipulating and analyzing complex, high-volume, high-dimensionality data from varying data sources, including relational and unstructured data warehouses.
- Aptitude to strike the right balance between quantitative methodology and providing timely answers to business questions.
- Ability to communicate complex analytic results in an easily understood manner.
- Ownership of projects and commitment to high-quality, on-time deliverables.
- Minneapolis/St Paul MN, Dallas/Fort Worth TX, or Austin TX area candidates
Preferences
- 2+ year of work experience with one or more analytical software platforms (e.g. SAS, SPSS, R or Python).
- Work experience with business intelligence and visualization tools (e.g. Tableau, Power BI) .
- Degree in a relevant quantitative field (e.g. statistics, mathematics, economics, operations research or social sciences). We will also consider relevant coursework/experience demonstrative of aptitude for inferential data analysis.
The person in this role will quickly be empowered to own projects. The person in this position is expected to be comfortable working with relational databases to provide actionable business insights. This may require manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. This person will be client-facing and explaining results and business impact to clients. Additionally, this position may be responsible for some data science projects, such as predictive models for audience targeting.
The ideal candidate will demonstrate
a) passion for solving difficult business problems using quantitative data-driven methods;
b) keen interest in communicating complex quantitative analysis in a clear, precise, and actionable manner;
c) acumen to tell a story through presentations, reports and/or dashboards;
d) curiosity to understand and learn how to apply data within relational databases;
e) strong understanding of the 'scientific method' and its role in gathering business insights and supporting decision making; and
f) the ability to work independently throughout the process from requirements gathering to delivering results to clients and internal stakeholders.
Work experience with transactional data is a plus.
Responsibilities
- Answer business questions by using appropriate methodology with available data.
- Recommend analytic approaches to make data-driven decisions.
- Interpret the results of analyses and communicate findings to internal and external stakeholders.
- Recommend actions for the business based on findings from analytics.
- Time management across requests to ensure on-time delivery.
- Explore and evaluate available data for cleanliness and functional usage.
- Collaborate within a cross-functional environment that includes internal stakeholders (Consumer Insights, Strategy, and Client Success functions) as well as external clients/stakeholders.
- Develop 'best practices' for answering frequently raised business questions.
- This position may have one direct report.
Requirements
- 5+ years of work experience in an analytics role
- 5+ years of work experience with querying relational databases (e.g. SQL)
- Competency manipulating and analyzing complex, high-volume, high-dimensionality data from varying data sources, including relational and unstructured data warehouses.
- Aptitude to strike the right balance between quantitative methodology and providing timely answers to business questions.
- Ability to communicate complex analytic results in an easily understood manner.
- Ownership of projects and commitment to high-quality, on-time deliverables.
- Minneapolis/St Paul MN, Dallas/Fort Worth TX, or Austin TX area candidates
Preferences
- 2+ year of work experience with one or more analytical software platforms (e.g. SAS, SPSS, R or Python).
- Work experience with business intelligence and visualization tools (e.g. Tableau, Power BI) .
- Degree in a relevant quantitative field (e.g. statistics, mathematics, economics, operations research or social sciences). We will also consider relevant coursework/experience demonstrative of aptitude for inferential data analysis.