EMPOWER – GROW FEARLESS
Empower is full-service agency pushing the boundaries of media, creative, and performance. We empower brands to embrace the uncertainty of change and face their fears. We give them confidence in the outcomes we deliver by leaning into the mantra of "What If…" By quantifying the scale of these opportunities and challenging the status quo, we break down the growth-limiting silos that the platform age has created. We curate solutions to uncover incremental sources of growth which boldly put brands in attention-grabbing environments, capturing consumers' hearts, minds and wallets. We deliver real-time commerce-enabled breakthrough moments based on consumer needs to produce results and creates deeper connections.
We don't believe winning today is enough. We believe in owning tomorrow, achieved by a mindset of Grow Fearlessly.
Role Summary & Impact:
Empower provides advanced analytics, digital analytics, data solutions, and relationship marketing services to brands across a wide range of verticals.
We’re searching for a Senior Analyst who shares our passion for data, analysis, modeling, learning, and continuous improvement. Like all team members, this person must be incredibly curious, empathetic, sincere, hardworking, and a problem-solver. Empower requires a healthy balance between thinking and doing, between attention to detail and outside-the-box thinking. Our clients’ needs are constantly evolving, and they count on us to help them move forward.
Senior Analysts in our Data and Technology discipline apply knowledge and passion to solve math, business, and/or technology problems for clients, helping them make better, faster decisions. Experience working across a range of data environments (from structured SQL environments to cloud-enabled data lakes) is a prerequisite for success. Determining which approach(es) for storing, blending, accessing, and presenting has/have the most merit is a core day-to-day responsibility.
The ideal candidate will have fluency in query logic, business intelligence, and working with APIs and data pipelines. Preferable skills include python, Java, Julia, or other languages used for data manipulation and automating processes, and/or ETL (e.g., Alteryx) tools.
Responsibilities
- Process large data sets and develop workflow automations (Azure Data Factory, etc.)
- Use data analytics languages (SQL, SAS, R, etc.) to clean and organize large data sets to be used in analyses and reporting
- Develop metadata tables and related database structures to support design and implementation
- Develop reports, dashboards and provide analytic insights to cross-discipline stakeholders
- Conduct fuzzy matching, data standardization, and data appends to structure and augment data for use in analysis
- Use web scraping to create additional data sets (e.g., via Python)
- Work with current team to develop or acquire new learning in technologies or techniques to provide added value to our clients
- Data environment and visualization requirements gathering
- Process documentation
- Acquire data from primary and secondary data sources, and maintain databases and data analysis systems
- Work with cross-discipline teams to investigate discrepancies across multiple data sources
- Work with third-party APIs for data ingestion, collection and aggregation
- Identify, analyze, and interpret trends or patterns in complex data sets
- Perform ad hoc quantitative analysis to answer unique and challenging business questions
- Adapt and learn to help answer the question at hand in the best way possible
- Find and effectively present insightful and actionable analyses, analytical methods and results to internal stakeholders and clients with varying levels of technical expertise
Requirements
- Undergraduate degree in statistics, economics, mathematics, computer science, engineering, or related quantitative field; master’s degree preferred
- Three or more years of professional experience preferred
- Advanced level of experience in at least one data statistical software package and data manipulation platform (R, Python, Julia, SQL, Alteryx, Azure Data Factory preferred)
- Knowledge of common marketing analytics techniques such as media mix models, multivariate testing, A/B testing, segmentation, and attribution algorithms is desired
- Data visualization experience through tools such as Tableau or Power BI
- Highly organized, with the ability to manage multiple projects in a fast-paced environment
- Ability to work independently and within a team structure to discuss methodology, results, and recommendations
- Ability to present findings and recommendations in a clear and compelling way
- Ability to creatively solve problems and understand the implications of new information on current client
