Demo

Marketing/Data Analyst

Abacus Service Corporation
Lafayette, LA Full Time
POSTED ON 1/17/2025
AVAILABLE BEFORE 4/16/2025

Job Title : Data Analyst

Department : Marketing

Reports to : Director, Marketing Operations & Insights

Effective Date : Created by : Moyer

Revised Date : Revised by :

JOB PROFILE SUMMARY : The ideal candidate will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decision-making. This individual will work across departments to ensure data accuracy and optimize processes, helping to drive efficiency, growth, and performance.

CORE VALUES

  • Agility - Ability to quickly adapt to changing priorities and adopt new tools and methods.
  • Courage - Willingness to present data and insights that challenge current assumptions or expected outcomes. Take initiative in proposing new approaches to drive better decision-making.
  • Collaboration - Utilize listening skills to understand stakeholders' needs and incorporating their feedback into analysis.
  • Respect - Treating others with courtesy and professionalism.

JOB DESCRIPTION : Responsibilities :

  • Collect and clean large datasets from various internal and external sources to ensure data quality and accuracy.
  • Perform data analysis to identify trends, patterns, and insights that can inform business strategies and decisions.
  • Develop reports and dashboards to present findings in an understandable and actionable manner.
  • Collaborate with cross-functional teams to understand data needs and ensure alignment with business objectives.
  • Assist in developing and maintaining data models and tools for forecasting, performance tracking, and business planning.
  • Create and maintain queries, reports, and data visualizations to communicate data findings to teams.
  • Perform ad-hoc data analysis and reporting as management or other departments require.
  • Ensure compliance with data privacy regulations and best practices in data handling.
  • Ensure the accuracy and quality of data used in analysis by developing best practices for data collection and reporting.
  • Assist in A / B testing and experimentation to refine marketing strategies and optimize customer engagement.
  • Work with the marketing team to identify areas where data can be used to improve targeting, personalization, and customer experiences.
  • QUALIFICATIONS :

  • years working big data sets
  • Strong proficiency in Excel required, including complex formulas, pivot tables etc.
  • Experience with data visualization tools such as Google Analytics, Tableau, Power BI etc.
  • Knowledge of statistical analysis methods and techniques.
  • Experience working with large datasets and data processing tools.
  • Strong problem-solving and analytical thinking skills.
  • Excellent written & verbal communication skills, with the ability to present complex data findings to non-technical stakeholders.
  • History of finding actional insights in data and contributing to data-driven decision making
  • Consultative approach to business partnering, capturing requirements, aligning stakeholders, validating solutions, and documenting outcomes
  • Business acumen with strong understanding of key business metrics and the ability to align marketing analytics efforts with broader business goals
  • Ability to manage multiple projects simultaneously and meet deadlines.
  • Computer Application Skills : (place an X mark) N / A Novice Proficient Advanced Word x Excel x PowerPoint x Windows x Outlook x Collaboration (Teams, Webex) x Data visualization tools x

    EDUCATION (Required and / or Preferred) :

  • A bachelor's degree in Marketing, Mathematics, Information Technology, Economics, Statistics, is preferred, but equivalent technical certification or relevant work experience will be considered
  • WORK ENVIRONMENT AND PHYSICAL DEMANDS :

  • Professional setting
  • Continuous sitting
  • Continuous oral & written communication and listening skills
  • Continuous computer use
  • Occasional bending, kneeling, lifting, pulling & pushing up to pounds
  • Schedule :

  • Typical hours Monday through Friday from : to : but not limited to these hours
  • The schedule may require occasional night / evening and weekend or holiday work
  • This position may require travel to client locations or corporate offices
  • PRIMARY LOCATION :

  • Remote acceptable – LFT preferred
  • SECONDARY LOCATION(S) :

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