Manager, Data Science and Analytics, Entry Level

Jobright.ai

Birmingham (AL)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
Vision Insurance
401(k)

Job summary

Jobright.ai seeks a motivated Entry Level Manager in Data Science and Analytics to manage data-driven projects and deliver actionable insights for clients. The role requires strong critical thinking skills and proficiency in data visualization tools. Ideal candidates will be capable of leading presentations and transforming complex data into clear, engaging content, while effectively collaborating with cross-functional teams.

Qualifications

  • Able to independently identify key issues and objectives with minimal oversight.
  • Should be a thoughtful contributor to internal and client discussions.
  • Must possess mastery of multiple data tools and statistical concepts.

Responsibilities

  • Manage the end-to-end process for data-driven projects.
  • Lead client readouts and define requirements for data tools.
  • Transform data into visually appealing presentations with strong storytelling.

Skills

Critical Thinking
Data Visualization
Statistical Analysis

Tools

PPT
Google Slides

Job description

Manager, Data Science and Analytics, Entry Level

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Manager, Data Science and Analytics, Entry Level

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Job Summary:

Razorfish is a leading digital marketing company that is seeking a Manager to join its Data Science and Analytics practice. The role involves managing data-driven projects, collaborating with clients and team members, and providing insights to enhance client strategies and objectives.

Responsibilities:

• Manage the end-to-end process for data internal and external client project work

• Understands Razorfish data capabilities and how data fits into a client's overall strategy

• Demonstrates marketing business insight and how our data services fit into client strategies and objectives

• Able to lead cross-capability projects and build close relationships with other disciplines

• Leads client readouts, defines requirements and implementation of data tools and products

• Has developed domain level experience in one or more core areas of data, including business intelligence, data visualization, forecasting, testing, or modeling to contribute to client discussions and deliverables

• Able to independently identify key issues and objectives to focus on for internal and client needs with minimal oversight

• Able to apply more comprehensive critical thinking to elevate either a client's: 1) marketing goals or 2) data sophistication and maturity forward. For example, a manager will show initiative in understanding strategic frameworks and how to apply them to client-specific needs.

• Is a thoughtful contributor to internal and client discussions, having synthesized input and feedback

• Independently prepares internal and client presentations and necessary outlines

• Owns work and delivers materials with confidence, and comfortable with supplying appropriate responses to questions that are more vague or not directly related to what was presented

• Shows confidence in meetings offering ideas and suggestions, reflecting mastery of tasks and work

• Comfortable with occasionally leading team discussions and able to present alternative solutions

• Able to create client documents from scratch with little reliance on templates and minimal oversight

• Uses standard methodologies in formatting within presentation tools (PPT, Google Slides, etc.)

• Transforms data into visually appealing presentations with an emphasis on storytelling, adapting formats and charts as necessary

• Is the day-to-day internal data resource while becoming the client go-to resource

• Can lead the client through multiple programs / projects from start to finish

• Displays professional, articulate, and mature presence in all aspects of client relationship building

• Understands how to document and respond to client feedback and recognizes when to raise issues

• Questions and output reflects deep knowledge of client’s business - financials, industry economics, competitive dynamics, marketing channels, and client strategic issues

• Shows mastery of multiple data tools and platforms and techniques

• Mastery of statistical concepts and one coding language

• Understanding of machine learning applications and utility

• Ability to assist in all aspects of vendor assessments

• Proactively identifies own learning gaps and seeks to answer them through internal resources or asking experts

• Experience working within BI/Visualizations tools

• QA and maintains data integrity at collection, extraction, and activation point

• Independently able to complete all steps involved in learning agendas / measurement plans

• Is proactive in solving issues with measurement plan implementation

• Fluent in standard CRM key performance metrics such as, email click-through rate, offer redemption rate, incremental sales, incremental margin and approaches to measurement

• Independently able to derive insights from extracted and manipulated data, as well as provide recommendations to improve processes for data extraction

• Consistently demonstrates ability to synthesize implications ("so whats?") from analysis and refine approach

• Uses insights across subject areas to generate and develop actionable recommendations to advance performane metrics

Qualifications:

Required:

• Able to independently identify key issues and objectives to focus on for internal and client needs with minimal oversight

• Able to apply more comprehensive critical thinking to elevate either a client's: 1) marketing goals or 2) data sophistication and maturity forward.

• Is a thoughtful contributor to internal and client discussions, having synthesized input and feedback

• Independently prepares internal and client presentations and necessary outlines

• Owns work and delivers materials with confidence, and comfortable with supplying appropriate responses to questions that are more vague or not directly related to what was presented

• Shows confidence in meetings offering ideas and suggestions, reflecting mastery of tasks and work

• Comfortable with occasionally leading team discussions and able to present alternative solutions

• Able to create client documents from scratch with little reliance on templates and minimal oversight

• Uses standard methodologies in formatting within presentation tools (PPT, Google Slides, etc.)

• Transforms data into visually appealing presentations with an emphasis on storytelling, adapting formats and charts as necessary

• Is the day-to-day internal data resource while becoming the client go-to resource

• Can lead the client through multiple programs / projects from start to finish

• Displays professional, articulate, and mature presence in all aspects of client relationship building

• Understands how to document and respond to client feedback and recognizes when to raise issues

• Questions and output reflects deep knowledge of client’s business - financials, industry economics, competitive dynamics, marketing channels, and client strategic issues

• Shows mastery of multiple data tools and platforms and techniques

• Mastery of statistical concepts and one coding language

• Understanding of machine learning applications and utility

• Ability to assist in all aspects of vendor assessments

• Proactively identifies own learning gaps and seeks to answer them through internal resources or asking experts

• Experience working within BI/Visualizations tools

• QA and maintains data integrity at collection, extraction, and activation point

• Independently able to complete all steps involved in learning agendas / measurement plans

• Is proactive in solving issues with measurement plan implementation

• Fluent in standard CRM key performance metrics such as, email click-through rate, offer redemption rate, incremental sales, incremental margin and approaches to measurement

• Independently able to derive insights from extracted and manipulated data, as well as provide recommendations to improve processes for data extraction

• Consistently demonstrates ability to synthesize implications ('so whats?') from analysis and refine approach

• Uses insights across subject areas to generate and develop actionable recommendations to advance performance metrics

Company:

Hi there! We’re Razorfish. We see consumers as more than just metrics. We see them as people – wonderful, complex, interesting people. Founded in 1998, headquartered in Sydney, New South Wales, AUS, team size 1001-5000 employees, currently Late Stage. Razorfish has a track record of offering H1B sponsorships.

Seniority level
  • Seniority level
    Entry level
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Software Development

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Medical insurance

Vision insurance

401(k)

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