Marketing Effectiveness Analyst

Job Tittle: Marketing Effectiveness Analyst

Location: Remote

Duration: Contract through EOY; will extend through 2025

Top Skills: Snowflake, data bricks, Python, R, SQL, Adobe or Tableau stack preferred

Need marketing and data science (R/python/databricks)/analytics background for modeling effectiveness studies.

More Project Mangy / but more data science with Statistical modeling and mathematics BG, testing and modeling effectiveness studies

Project:

Working with Marketing (want good exp with marketing) doing effectiveness studies & analysis / comparing campaign results / advanced statistical analysis

In support of Group Retiree Marketing

BG in ascending order of importance (ideally will have all):

1. Data Science background (evaluating studies at a high volume
2. Marketing
3. Healthcare

Deliverables:

• ad hoc reporting
• work with stakeholders to do readouts
• spreadsheet with lifts and findings - research & put into PPT what worked / what did not work
• presenting on findings and giving recommendations - recommendations go to marketing and they decide what to do

Tools:

• Python
• SQL
• DataBricks
• Similar to SQL but in this environment / platform
• Experience with cloud and doing data science analysis through Python and R
• R (could use)
• Excel and PPT

BI is just nice to have, not doing that

Project Management:

• Do not need a hardcore PM, but need to be able to monitor and track projects
• This group: 80-200 analysis a year & 3 people on this group - need to be more efficient and will move to automate things
• People process oriented

Minimum 3-5 year's experience doing this:

ACCOUNTABILITIES: (The primary functions, scope and responsibilities of the role)

Business and Data Analysis 20%

• Works with internal and external partners to develop and analyze marketing analysis needs
• Develops and writes business requirements for the design of solutions.
• May perform analysis for a wide range of requests using data in different formats and from various platforms.
• Research business problems and creates models that help analyze these business problems
• Learns and maintains expertise on various data domains.
• Manages data quality of various data domains, including correcting data discrepancies, when appropriate.
• Understands the security profile of various data domains; collaborate with BDPass and UCEE data teams to ensure proper security and provisioning of data.
• Conduct data profiling activities that inform and support data replication activities.

Business Partnership 10%

• Utilizes expert business knowledge in assigned business domain to advise business on recommended approach for harnessing the power of their data.
• Facilitates data-related conversations with data ambassadors and other business data SMEs.
• Trains and assists data users on how to use data-related applications.
• Designs and delivers end-user training and training materials.
• Consults on needs for advanced, statistical, and predictive analytics for various business domains.
• Provides guidance, training, and problem-solving assistance to other team members
• Coaches less-experienced individuals

Solution Development 60%

• Uses creativity to design and develop eye-catching data visualizations that tell a compelling story to the business; visualizations should be quickly actionable and enable the end users to make data-driven decisions.
• Participates in the refining and maturing the enterprise data strategy.
• Interprets business requirements and determines optimum marketing solutions to meet needs
• Designs enterprise effectiveness studies, including custom reports

Management Production Support 10%

• Work with offshore teams with solution development and technical issues that arises.
• Respond to an agreed contact communication (e.g. telephone call, text, email, system alert) within an agreed time.

REQUIRED QUALIFICATIONS: (Minimum qualifications needed for this position including education, experience, certification, knowledge and/or physical requirements)

Education/Experience

• Bachelor s degree in Computer Science, Statistics, Management Information Systems, or related field. Equivalent related experience and/or education may be substituted for degree requirement.
• Relevant work experience as typically acquired in 5-10 years, preferably in the healthcare industry
• Proficient in Microsoft Office Suite, including Visio
• Working knowledge of one or more business functional areas

Key Characteristics

• Demonstrate strong collaboration, communication, and facilitation skills.
• Effectively bridge communication between IT and the business.
• Strong critical thinking and problem-solving skills, self-directed.
• Exhibit strong organizational skills and attention to detail.
• Demonstrate strong SQL skills
• Demonstrate strong passion for data and its ability to optimize organizations.
• Appreciate the value of high-quality data.

Familiarity with working on the command line, able to execute python scrips, navigate to log directories to analyzing logs.

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