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Data Analyst Manager at Clifton Larson Allen

Data Analyst Manager

Clifton Larson Allen Quincy, MA Full-Time
CLA (CliftonLarsonAllen), the 8th largest public accounting firm in the United States, is proud to create inspired careers. We recognize that not everyone wants to grow their career paths in the same way. That's why CLA exists to create opportunities. We promise to know you and help you.

We are seeking a Data Analyst Manager with experience in HEALTHCARE to leads the answering of questions posed by the business, creating of dashboards, and/or doing detective work to uncover the secrets hidden in the piles of internal and external data we have access to. It is not uncommon to find our Data Analysts making use of the Microsoft Power Platform, which we have full access to at CLA, or a scripting language like R or Python. The Data Analyst Manager cleans up data for analysis or visual display in a report or dashboard, and/or works out details regarding data access to support a project. Our Data Analysts favorite tools are the Power Platform (Power Apps/Power BI/Power Automate), Excel, DAX, M, R, and Alteryx. In contrast to a Senior, the Manager will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

Essential Job Functions

The below functions reflect the general details of the essential work activities and accountabilities of this position and are not all inclusive. Other activities may be assigned.

Service Expertise: Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities. Take on lead roles with client situations to develop and enhance business skills. Retain knowledge gained and performance feedback provided to transfer into future work. Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions.

Data Analysis: Lead external and internal projects involving the collection and analysis of data using a variety of data tools. Together with the Data Analytics team, building and implementing of models, using/creating algorithms and creating/running simulations. Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Data Development: Collaborate with others on the Data Analytics team to develop custom data models and algorithms to apply to data sets. Develop predictive analytics, machine learning, and artificial intelligence techniques. Develop tools to monitor and analyze solution performance and accuracy, and communicate findings to team members.

People Development: Assist in developing and executing a Data Analytics/Data Science learning plan for varying levels of knowledge and experience.

Leadership: Focus on building knowledge of the business of CLA, business development skills, and emotional intelligence. Balance between working independently with specific direction and collaborating with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take a leadership role in developing people.

Collaboration: Take on additional roles beyond technical development and client service that may include: serving as primary contact with clients or business leaders on internal projects, take on administrative tasks, perform support roles, and get involved in new business development.

Requirements

Experience

Three to seven years of experience in data analytics, public accounting, financial consulting, computer science or related field.

Education

Bachelor's degree in a field of Business, Accounting, Finance, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science)..

Technical Competencies

Experience* using Microsoft applications including Excel (2016 and Power Query M and DAX languages), Power BI, Power Apps, Alteryx. Experience* using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

Understand the domain specific nature of data being collected/analyzed and how data may be utilized to satisfy project objectives

Identify potential data sources that may be useful to harness for analysis

Identify disparate data sources to harmonize and deliver integrated solutions Develop service and industry specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training

Possess service and industry specific knowledge yielding higher efficiency and productive solutions

Employ commonly used Key Performance Indices (KPIs) within relevant industries and services

Extract data from potentially disparate data sources in order to support a data product or solution

Experience with tabular data models using Power BI framework

Automate extraction of data from disparate data sources in order to support a data product or solution

Plan / prototype applications and other visual displays of data

Create applications/dashboards using Power BI or power apps

Create applications/dashboards using Shiny, golem, or Dash

Create visualizations (using ggplot2, plotly, matplotlib, seaborn, bokeh or using Power BI)

Create exploratory and descriptive analyses using Jupyter, RMarkdown, or similar technology

Understand conceptual aspects of creating a compelling visual display of data

Transform/wrangle data using dplyr, pandas, or other packages/languages

Understand software development concepts such as modularization, variable scoping, object oriented vs functional programming

Comfortable with version control (git) in local and remote setting (GitHub/Azure DevOps) and working as a team developing large software solutions

Ability to code in M, DAX, R, and other languages

Practical experience beyond education required

Organizational Interfaces

Collaborate with both business and Information Technology (IT) colleagues on data projects. Takes direction from Directors and Principals. The Data Analyst Manager will report directly to the managing principal of Outsourcing Data Analytics.

Travel Requirements

This position requires frequent local travel to/from client sites and may require occasional non-local or overnight travel for client visits, training, meetings and/or other business-related purposes.

This position requires

CLA exists to create opportunities for our people, our clients, and our communities. We are a proud equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity/expression, disability status, protected veteran status, national origin, or any other characteristic protected by law.

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Recommended Skills

  • Administration
  • Algorithms
  • Alteryx
  • Artificial Intelligence
  • Automation
  • Big Data
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