Data Analyst

Agency: RAPP

Job Function: Data and Analytics

Job Subfunction: Data Science and Analytics

Job Description: MRM is looking for a Data Analyst. The ideal candidate must be able to proactively communicate ideas and opportunities, as well as conduct in depth analysis to support client recommendations and insights. The candidate should have a solid background in measurement and performance analytics, with an openness to learn and expand skills.

The responsibilities include: * Handle routine reporting and presenting (primarily bi-weekly and eventually, quarterly reports) * Manage ad-hoc analytics questions & requests in a timely fashion * Assist in website analytics initiatives, including website tag implementation in Google Tag Manager and running custom analytics reports using Google Analytics and Big Query * Create custom analytics dashboards in Tableau, PowerBI or similar tools * Assist in report automation * Assist in campaign planning and performance analysis

Required skills and attributes (You don’t have to be an expert in any of these, but we are looking for someone with a basic understanding and a willingness to learn / grow these skills): * Bachelor’s degree preferably in Statistics, Data Science, Analytics, Mathematics or similar with 0-3 years’ professional experience * Basic knowledge of Python & data and plotting libraries, with a keen interest in developing their programming skills. * Basic SQL capabilities: joining tables, using ‘group by’ clauses, case statements * Basic understanding of statistical concepts such as hypothesis testing, confidence intervals, statistical tests (chi-squared, etc) and how to use them * Knowledge or experience working within Google Tag Manager or Google Analytics * Familiar with the basic fundamentals of data visualization, and at least one data visualization tool or package (Tableau, PowerBI, LookerStudio/Data Studio Plot.ly, Seaborn, ggplot etc) * Basic to intermediate skills in Excel: Pivot tables, etc. * Strong communication skills, both written and verbal * Comfortable working independently (once properly on-boarded) * Comfortable working in a fast-paced, cross-functional environment

Preferred, but not required: * Interest or background in machine learning / predictive modelling * Knowledge or experience working with Firebase * Experience working with scientific polling data—bonus if applicant has experience with large .sav files and either SPSS / pyreadstat * Experience with automated data collection (web scraping, APIs) * Experience writing VBA macros a plus * Experienced and comfortable collaborating remotely

About MRM:

MRM is a modern relationship marketing agency dedicated to building enduring brand relationships. MRM's specialized capabilities drive relationship lifetime value and span CRM, Customer Experience, and Commerce with data and martech at the core. MRM operates in a borderless, integrated way to enable greater collaboration, creativity, and true speed to market. For more information, please visit [1]

At MRM, we value a culture in which all people are treated with dignity, fairness and respect. We’re committed to fostering a positive environment free from harassment and discrimination. We empower individuals to take action and be creative when solving problems. And we expect self-awareness and accountability from team members at all levels of the organization. This is much more than a statement - it’s in the act of living our daily lives.

MRM is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.

The salary range for this position is $45,000 to $160,000. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position; the associated discipline; market considerations; budgetary considerations; tenure and standing with the company (applicable to current employees); as well as the employee’s/applicant’s background, pertinent experience, and qualifications.

References

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Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

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