Data Analyst
The Rockridge Group
Job Description
Job Description
Data Analyst
Position Summary
We have a need for Data Analyst with experience in data analytics and metrics optimization. We will need you to assist in collecting data and putting it to practical use, with the end goal of maximizing profits and increasing our efficiency. We are interested in furthering our data collection and analysis practices, so you will recommend new data procedures and programs. You’ll be responsible for processing several different types of data, including those related to our website and online presence, and our multi-channel marketing campaigns and launches.
Responsibilities
As our Data Analyst, you will report to the Director of Marketing Technology. Your role will be to work across the marketing organization and cross-functional teams (IT, sales operations, finance, and CRM salesforce) to gather, analyze and share qualitative and quantitative analysis.
- Evaluate the multichannel impact of marketing activities on engagement, sales and ROI
- Develop and refine techniques used to measure engagement, conversion and trends for marketing efforts, including campaigns and ongoing programs
- Create a baseline marketing performance and build a process to streamline measurement
- Ensure timely delivery of reporting and insights, and build user-friendly answers to basic marketing questions (e.g., executive dashboards)
- Use data mining and other analytical techniques to gain insight into customers to improve the effectiveness of communications and products
- Improve the presentation and communication of marketing analytics across the organization
- Benchmark marketing metrics against relevant standards and competitors
- Identify and suggest optimization opportunities to appropriate executional teams
- Conduct other ad-hoc analysis and reporting on request
Required Qualifications
Our ideal candidate will have three years of professional experience with marketing data at an investment firm or in a financial services company’s investment unit.
- Strong background in quantitative analysis (e.g., statistics, finance, mathematics or economics)
- Ability to aggregate, standardize, interpret and model data, and to work independently within a decentralized environment
- Analytic modeling using methods such as basic statistics, software-assisted segmentation and linear regression
- Digital marketing platform skills, including common website analytics platforms, widely used ad serving and technology platforms, social listening and analytics platforms, and mobile site and mobile app analytics platforms
- Advanced Excel skills (pivots, tables and functions)
- Familiarity with database queries and programming languages (e.g., SQL)
- Excellent written and verbal communication skills, including the ability to convey complex ideas clearly and to communicate with both technical and nontechnical audiences
- Degree in Statistics, Mathematics, Operations Research or relevant experience
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