At a Glance
- Tasks: Analyse data to drive marketing strategies and create impactful insights.
- Company: Wiley, a leader in research and learning, values diversity and innovation.
- Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for marketing success.
- Qualifications: Experience in data analysis, SQL proficiency, and strong problem-solving skills.
- Other info: Join a supportive team that promotes continuous learning and career development.
The predicted salary is between 38600 - 55267 £ per year.
Lead Data AnalystLocation:
About The Role: As a Lead Data Analyst in the Marketing Data & Analytics team, you will play a crucial role developing important datasets that influence strategic decision-making, shed light on campaign performance for the Marketing teams, and ensure the success of Lead Scoring reporting in uncovering new contacts and assessing conversion potential.
We\āre looking for a creative thinker, someone who can turn disparate data tables into valuable information and use it to develop insights and data storytelling that is clear and accessible to stakeholders. We have a rich data landscape at our fingertips, this role is a key advocate in its practical use and constant exploration to the benefit of marketing effectiveness.
How You Will Make An Impact
Develop SQL queries to gather, analyze and blend large volumes of data from our GCP database. Explore data to identify trends, patterns, and opportunities for optimization.
Develop and maintain strategically insightful and visual dashboards, ensuring that key stakeholders have access to actionable data to support decision-making processes.
Provide analytical support to set marketing goals, own different types of marketing metrics/KPI and review reports with marketing stakeholders to ensure these reports meet the teams\ā evolving data needs.
Identify problems and opportunities through data analysis and support the Marketing teams in developing strategic solutions.
Evaluate lead generation and ABM campaigns. Utilize data analysis to assess the effectiveness of various Marketing journeys, identify areas for improvement and optimize performance.
Provide strategic recommendations based on data insights to influence business strategies and enhance overall performance.
Work collaboratively with the rest of the Marketing Data and Analytics team and provide technical guidance to junior team members.
We Are Looking For People Who
Proven experience as a Data Analyst, with strong proficiency in using complex SQL queries to analyze and manipulate large datasets to address real-world business challenges.
Significant experience working in a data analyst role, with CRM tools like Salesforce and data objects like leads, opportunities, lead scores and customer-centric metrics.
Strong analytical and problem-solving skills, with the ability to convert data into actionable insights.
Proficiency in data visualization tools such as Power BI, or similar.
Experience with Snowflake and GCP (BigQuery) or other cloud-based data warehousing technologies is highly desirable.
Familiarity with Python is a plus.
Working knowledge of Lead Scoring criteria, build and implementation is a plus.
Great communication skills, capable of conveying complex technical concepts to non-technical stakeholders.
A passion for academic publishing and a keen interest in the latest trends in the publishing industry is advantageous.
Salary Range£38,600 to £55,267 per annum.
Seniority level: MidāSenior level
Employment type: Full-time
Job function: Information Technology
Industries: Book and Periodical Publishing
When applying, please attach your resume/CV to be considered.
Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual\ās status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance.
We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meetingāfree Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programming we facilitate a wide range of opportunities to foster community, learn, and grow.
We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package.
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Lead Data Analyst employer: Wiley
Contact Detail:
Wiley Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Lead Data Analyst
āØTip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities you might not find on job boards.
āØTip Number 2
Prepare for interviews by researching the company and its culture. Understand their mission and values, so you can show how you fit right in with their team.
āØTip Number 3
Practice your data storytelling skills. Be ready to explain complex data insights in simple terms. This will impress interviewers and show them you can communicate effectively with stakeholders.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets seen by the right people. Plus, it shows youāre genuinely interested in joining our team.
We think you need these skills to ace Lead Data Analyst
Some tips for your application š«”
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Analyst role. Highlight your SQL prowess, data visualisation skills, and any relevant experience with CRM tools like Salesforce.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how you can contribute to our mission at Wiley. Share specific examples of how you've turned data into actionable insights in previous roles.
Showcase Your Analytical Skills: In your application, donāt just list your skillsādemonstrate them! Include examples of how you've used data to solve problems or improve processes. We love seeing creativity in data storytelling!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, your application will be seen by the right people, and you'll be one step closer to joining our team!
How to prepare for a job interview at Wiley
āØKnow Your Data Inside Out
As a Lead Data Analyst, you'll be expected to have a strong grasp of SQL and data manipulation. Brush up on your SQL skills and be ready to discuss how you've used complex queries in past roles. Prepare examples of how you've turned raw data into actionable insights.
āØShowcase Your Visualisation Skills
Familiarity with data visualisation tools like Power BI is crucial. Bring along examples of dashboards you've created or be prepared to discuss how you would approach building one for Wiley. Highlight your ability to make data accessible and engaging for stakeholders.
āØUnderstand Marketing Metrics
Since this role involves working closely with marketing teams, make sure you understand key marketing metrics and KPIs. Be ready to discuss how you've evaluated campaign performance in the past and what strategies you implemented based on your findings.
āØCommunicate Clearly
Strong communication skills are essential for conveying complex data concepts to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work rather than just the technical details.