Data Analyst
Unleash Your Data Prowess: Transform Data into Actionable Insights
Join a leading global innovator as a key member of their data analytics team. In this exciting role, you will transform raw data into actionable strategies that drive marketing decisions and shape the future of the business. Your analytical expertise will directly impact marketing campaigns and contribute to the overall success of this dynamic organization. Partnering with Aquent Talent, you’ll be at the forefront of data-driven decision-making in a fast-paced, innovative environment.
As a Data Analyst, you will play a pivotal role in empowering data-driven decisions. You’ll dive deep into complex datasets, uncover hidden trends, and translate your findings into compelling reports that inform key stakeholders. Collaborate closely with the data analytics team and cross-functional marketing partners to produce monthly and quarterly reports that steer marketing strategies. This is your opportunity to make a tangible impact on a global scale.
This is a 12 months, hybrid contract. This role is open for a limited time. Next steps will be shared with shortlisted candidates by COB Friday 12th Sept. Due to the high volume of applicants, we may be unable to reply to each applicant individually.
What You’ll Do:
- Interpret data, analyze results using statistical techniques, and provide ongoing reports.
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
- Work with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
Must-Haves:
- Strong data and analytical skills
- Proficiency in spreadsheet software and data modeling techniques
- Excellent reporting and presentation skills
- A genuine passion for data and numbers
Nice-to-Haves:
- Knowledge of or experience working on subscription businesses
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