Senior Data Analyst

Princeton, New Jersey; Cherry Hill, New Jersey; Trenton, New Jersey; Boston, Massachusetts; Chicago, Illinois

Acceleration Partners

Acceleration Partners is a global, award-winning affiliate management agency. The leading brands trust our team to grow their affiliate marketing partnerships.

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Sr. Data Analyst

 

The Data Analyst is responsible for overseeing our data systems and reporting frameworks, guaranteeing the integrity and precision of data. The ideal candidate will transform raw data into structured information, which will then be analyzed to provide insights that drive strategic decision making in business. This position encompasses a comprehensive analysis lifecycle, covering requirement gathering, activity execution, and design planning. Data analysts are tasked with enhancing analytical and reporting functions, as well as supervising performance and quality assurance processes to pinpoint areas for enhancement.

 

Data Analyst Roles and Responsibilities

 

  1. Data Quality and Integrity
    • Ensure that data is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions
    • Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors

 

  1. Collecting Data from Various Sources
    • Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems.

 

  1. Developing and Supporting Reporting Processes
    • Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights
    • Identify opportunities for process enhancements
    • Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes

 

  1. Developing Automated Processes for Data Scraping
    • Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability.

 

  1. Interpret Data
    • Detect, examine, and decode trends or patterns within intricate datasets 
    • Employ statistical techniques to scrutinize data and produce actionable business insights
    • Your analyses will help extract meaningful insights and trends, which can then inform business decisions and strategies
    • Develop data dashboards, charts, and visual aids to support decision-making across departments

 

  1. Performs Complex Analyses
    • Conduct in-depth data analyses using advanced statistical methods and tools to uncover patterns, correlations, and insights

 

  1. Maintaining Databases
    • You will be entrusted with the responsibility of managing and updating databasesto ensure they are secure, accessible, and functioning properly. Your role is crucial in supporting ongoing data storage and retrieval needs.

 

  1. Collaboration
    • Coordinate with management to align business and informational priorities
    • Collaborate with the management team to determine and rank the needs of different business units

Skills and Qualifications

  • Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.
  • Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness. 
  • Capable of critically evaluating data to derive meaningful, actionable insights.
  • Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
  • A bachelor's degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.
  • Experience delivering results for large, cross-functional initiatives while managing multiple competing priorities.
  • Experience in the entertainment, media and/or subscription businesses.
  • Affiliate marketing experience

 

Additional Requirements

  • Adept at report writing and presenting findings.
  • Ability to work under pressure and meet tight deadlines.
  • A deep understanding of the industry and business operations is a plus.

 

Sr. Data Analyst/What they will do:

 

1.Data Cleaning and Preparation:

This involves filtering the data and using multiple dashboards and filters across 3P tech stacks (2 3P tech stacks (one for affiliate, one for influencers), Amazon machine learning dashboards, Salesforce integration (upcoming), activity and paid retention), handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance. Identifying Project Ulysses fraud findings and how that impacts partnership pipeline.

 

2.Data Exploration and Analysis:

Use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends.

 

3.Data Visualization:

Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable.

 

4.Reporting:

Prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes (Weekly Flash Reports, QBRs, MBRs).

 

5.Collaboration:

Work cross-team (finance, BI, global performance marketing, tech ops) to understand data needs and help make informed decisions based on data insights.

 

This Data Analyst will play a crucial role in various aspects:

  • Strategic Decision-Making:provide the groundwork for strategic decision-making by uncovering trends and insights that can guide business strategies and improve outcomes.
  • Improving Efficiency:By identifying areas of inefficiency within operations, this role will help streamline processes, reduce costs, and increase productivity.
  • Enhancing Customer Experiences:understand customer behaviors and preferences, leading to improved products and services (bounty reward incentives, attribution model during promotional periods vs. non-promo periods).
  • Risk and Fraud Management: help identify potential risks and challenges, and devise strategies to mitigate these risks. This role will also help monitor and integrate and build out fraud reporting visibility, dashboards and visualization.

 

 

WHY ACCELERATION PARTNERS?  

Acceleration Partners is the world’s largest and first-to-market Partnership and Marketing Agency creating and nurturing partnerships that drive exceptional measurable outcomes for their clients. Managing clients in 40+ countries, their global team of 300+ focuses on data-driven strategies that help connect brands to the right consumers through performance partnerships, traditional affiliate, influencer, performance PR, content and B2B partnership marketing. Serving over 200 brands with household names like Amazon, Target, Google, Warby Parker, Crocs, Reebok (to name a few) their diversified staff is creating what’s next in the industry by building balanced portfolios of high-performing partnerships. As the only truly integrated global partnerships agency, Acceleration Partners prides themselves on being on the cutting edge of new industry developments, and leveraging their proven expertise to bring unique solutions to the most complex challenges for brands who aim for growth. 

   

AP PERKS & BENEFITS - WHAT WE OFFER:  

  • 100% remote work for everyone  
  • Group medical, dental, and vision coverage insurance (with opt-out benefits)  
  • 401K with matching  
  • Open Paid Time Off  
  • Summer & Holiday company-wide shut-down weeks in July and December  
  • Volunteer and Birthday Time Off  
  • Focus Fridays  
  • Paid Parental Leave Benefits  
  • Wellness, Technology & Education Allowances  
  • Paid sabbatical leaves, donation matching, and more!!  
  • Benefits may vary based on employment status or country location.  

   

Acceleration Partners is committed to a diverse workforce and we are an equal opportunity employer. We evaluate applicants regardless of an individual’s age, race, color, gender, religion, national origin, sexual orientation, disability, or veteran status.  

 

 

#LI-REMOTE

*GLSDR

#LI-MG1

 

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Category: Analyst Jobs

Tags: APIs Computer Science Data analysis Data quality Data visualization Excel Finance Machine Learning Python R Salesforce SAS SPSS SQL Statistics

Perks/benefits: Career development Health care Insurance Medical leave Paid sabbatical Parental leave Startup environment Wellness

Regions: Remote/Anywhere North America
Country: United States

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