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Data Analyst, Marketing

Experian is an Equal Opportunity Employer Including Disability/Veterans Job Number: 187449 Costa Mesa, California

Description

Experian is the power behind the data. As the leading holder of consumer and business credit data, we’re transforming data into solutions that advance industries, move companies forward and improve the lives of millions of consumers around the world. In 2018, we were named by Forbes magazine as one of the “World’s Most Innovative Companies.”

Experian Consumer Services is seeking a Data Analyst that will work with our cross functional teams to develop a deep understanding of our customers across all aspects of their journey with the brand. This role will support multi-channel customer marketing and provide insights, analysis and recommendations that provide critical support in informing strategic marketing decisions and objectives.

Functional responsibilities include developing customer analytical databases to support reporting and timely dashboarding; evaluating campaign performance to recommend better marketing segmentation approaches; and analyzing cross-channel behavior to improve engagement and monetization.

The candidate will be a strategic thinker with technical expertise around data, reporting, and analytical approaches and how they can be applied to improve business decision-making and outcomes. This is a hands-on analytical role in a fast-paced environment.

Responsibilities:


Primary responsibilities will include, but are not limited to, the following:
• Work with cross functional partners (CRM, Optimization & Marketing) teams to develop analysis and reporting focused on performance metrics around the profitability of subscription based businesses.
• Partner with internal stakeholders to bridge the gap between customer web behaviors and cross channel customer views to propose new acquisitions, cultivation, retention, and win-back strategies.
• Leverage analytical tools to understand onsite behavior and conduct pathing analysis to optimize customer experience, e.g. click through rates, golden pathways, conversion analysis, and marketing effectiveness.
• Deliver quick turnarounds on dashboards, identify trends and/or issues within data sets, and make recommendations to influence business decisions and investments.
• Evaluate the effectiveness of marketing actions, recommend segmentation approaches and deliver actionable insights to improve customer lifetime value.
• Partner with IT, BI and Operations team to help identify and mend data gaps, source issues, and data inaccuracies.
• Present analytical results and insights to business partners to answer strategic questions and influence business decisions.
• Develop measurement plans/processes including multivariate A/B tests and experimental design to evaluate performance of marketing results.

Knowledge, Experience & Qualifications

• Bachelor degree in Mathematics, Computer Science or Marketing related quantitative field.
• Minimum of 2-3 years of experience in a data analytics capacity, experience with digital/online product strongly preferred.
• Understanding of relational database theory and proficiency in writing and understanding complex SQL code.
• Experience with Business Intelligence tools (Tableau, Alteryx & Cognos) and real time dashboard development.
• High proficiency in MS Excel and Web Analytics tools such as Adobe Analytics or Google Analytics.
• Working knowledge of Salesforce is a plus.
• Knowledge of statistical models and practical experience in predictive model development is a plus (R, Python, SAS, etc).
• Strong oral and written communicator with demonstrated experience translating analytics findings into business insights in order to influence business stakeholders to drive actionable decisions and optimize business performance.
• Excellent analytical and problem-solving skills with an exceptionally strong attention to detail.
• Curious, self-motivated thinker; always asks why and strives until the answer is clear.
• Strong organizational and time-management skills; ability to multi-task and prioritize responsibilities in line with business objectives, react to shifting priorities while adhering to deadlines.