INDUSTRY STATS
According to the U.S. Bureau of Labor Statistics, Analytics Manager positions are at a 10% growth rate, which is as fast as average. With that said, there are currently 316,800 jobs in the market right now. The total number of jobs is expected to increase by 31,800 to 348,600 in the period of 2020-30.
What’s more, the median annual wage for the Analytics Manager jobs was $141,490 in May 2020. The lowest 10% earned less than $74,620, and the highest 10% more than $208,000.
Our conclusion? The Analytics Manager job market is wide open for candidates.
Top Analytics Manager sections that make the best resume
- Header
- Professional summary
- Experience (with numbers and results)
- Relevant skills
- Education
- Certifications
How to write an Analytics Manager resume experience section
Analytics Manager Resume Experience: Checklist
- Use either chronological or reverse-chronological format when listing your previous jobs;
- Mention only relevant positions that add value to your resume;
- Briefly state the challenges you’ve faced and how you’ve overcome them;
- Highlight the results from your efforts (for bonus points, add numbers, percentage rates, etc.);
- Forget about buzzwords! Use power verbs instead.
Use the examples below to build your own experience section!
- Identifying the needs of business and developing plan and dashboards to determine overall direction of business.
- Addressing Business problems and identifying and planning short term and long term goals.
- Working closely with product, Sales to increase market share.Utilize customer information to find patterns and opportunities.
- Providing time to time business update to concerned teams.
- Preparing Dashboards to give insights and progress of Business.
- Transforming our ID&F business from software and data centric to one that has Analytics at the core of everything we do.
- Managing a team of two Data Scientist and two Data Engineers from the Research and Development department.
- Apart from managing Advanced Analytics Fraud projects (scope setting, time estimations, budget constraints), I am also involved at the proposition stage of the deals and the interim/final presentations for the clients, serving as an Analytics Consultant.
- Main stakeholders are often the regional senior executives, several managerial tiers above my own.
- Handling visibility data analytics for FMCG Brands in India
- Working on standardization of analytics outcomes and reports
- working on creating global database of barcodes
- Managed and grew an analytics team for the client over a period of 3 years
- Grew firm revenues by $0.5M
- Managed and led analytics engagements for 30+ existing clients
- Lead team of 4 Direct reports and 8 Indirect Reports working closely with cross-functional teams to implement high-quality, data-driven decisions resulting in 15% annual growth in firm-wide profit of $200+ millions.
- Apply statistics and data modeling to provide actionable insights from overseeing a $2,500 millions investment portfolio and $280+ millions procurement budgeting.
- Identify 10% potential business growth resulting from the predictive analytics and maintain 95%+ customer satisfaction firm-wide from 5+ millions customers.
- Develop and manage complex Business intelligence solutions using SQL to deliver key business performances and strategic plannings to C-Suites Executives on monthly basis.
- Ensure data accuracy and ETL from important connectors to the Cloud Data warehouse for the timeliness and accuracy of BI solutions and quarterly predictive analytics.
- Fraud & Internal Audit Analytics - forensics, prevention and control
- Project manager for P2P Audit Analytics implementation
- P2P Analytics SME
- Project manager for P2P Audit Analytics - forensics, fraud prevention
- Project manager for SQL Server implementation - finance analytics
- Digital finance transformation - OCR, unstructured data, RPA
- Master data, data wrangling, data modelling, data analytics SME
- P2P digital transformation support (Coupa, Supplier Onboard Tool)
- Planning and execution of department’s data analytics strategy.
- Co - Partnering for annual risk assessment activities for technology,digital, Cloud, and developing annual audit plan.
- Lead the completion of the technology and digital audit plan, leveraging data analytic capabilities.
- Partnered on Global Loyalty program implementation
- Leading Global Mobile App Risk Management
- Leading process & Data Integratation for "analytic part of output"
- Partnered with Global Data Governance and Data Quality work stream.
- Integrate Data with process, so analytics is part of output
- Development, execution scalable analytics
- Improved digital assets' discovery (85% faster)
- Increased application of advanced data science for controls
- Created the Business Analytics Team from scratch.
- Hired Business Analysts with Role specific Skills.
- Hired Interns and trained them to get promoted in Associate Business Analyst Role.
- Arranged Meetings with Executives to identify Business Gaps and formulate solutions.
- Created complete Reporting Structure to meet the business needs.
- Conducted Training and created Videos for understanding the Reports and Processes.
- Travel to HQ for discussion with Senior Management for suggesting the Analytics Approach to design the Business Analytics Team.
- Lead BI and Analytics in EMEA for the Walt Disney Company as part of the Digital Products and Platform team
- Looking after 130+ websites (disney.xx, shopdisney.xx, disney tickets etc..) and the Disney Channel apps
- Reponsible for analytics implementation, data warehousing strategy, ETL, summarisation and data visualisation
- Managing various data integration projects in and out of the EMEA digital data platform, prioritising work for datamarts roadmap and various data feeds
- Planning ETLs and data processes around the database usage across multiple time zones
- Product owner for the EMEA digital data platform
- Setting up analysts and data scientists with all the tools they need to analyse the data
- Tableau and powerBI reporting
- Developing data self service by automation and education
- Offline and online media market trend reports.
- Statistical analysis for media budget optimization
- Development of dashboards for business decision-making
- Social media listening for main brands and market trends
- Achieved over 30% improvement in delivery of major BI initiatives by simplifying KPIs, report consolidation and business alignment.
- Steered the implementation of Engaged Acres metric in enterprise data lake, which led to over 72% cost reduction and 40% faster performance by migrating the Big Data processing to Databricks.
- Lead globally distributed team of over 10 data engineers, wranglers & data scientists in three different continents.
- Created a common framework & platform for Precision Ag CI metrics and automated the reports improving overall delivery and decision-making.
- Led cross-functional teams and delivered data-intensive (30 TB/day) FMIS solutions hosted in AWS for agronomic decision support.
- Undertaken an expatriate assignment to build an analytics team from the ground up and scaled-up global delivery model.
- Collaborate with executives in formulating key performance indicators and metrics to measure success in Precision Ag Business.
- Analyzed trends, outliers, and develop appropriate strategies in compliance with FINRA and SEC regulatory standards.
- Designed and managed a client tracking portfolio developed using internal suite of technologies to identify capital market anomalies and help optimize the portfolio returns by 20%.
- Provided accurate and timely financial data and insights categorized into equities, options and bonds etc to ensure best execution and prevent insider trading for over 1 million clients.
- Developed dynamic visualizations in Fidelity Brokerage and Compliance using Tableau which made the decision making process for senior management team relatively easier.
- Lead the Data and Content team at Sharespost Inc. We develop and design complex data pipelines for internal marketing, research and operations teams.
- Collaborate with Business units leads to develop strategies, roadmaps, automation frameworks, data models, and metrics.
- Managing the data team through the design process, requirements gathering and backlog refinement, architect data platform design and own the implementation.
- Developed reporting infrastructure and created data visualization portfolio via Tableau and internal BI tools for better decision making.
- Analyzed trends, outliers, and develop appropriate strategies in compliance with FINRA and SEC regulatory standards.
- Designed and managed a client tracking portfolio developed using an internal suite of technologies to identify capital market anomalies and help optimize the portfolio returns by x%.
- Provided accurate and timely financial data and insights categorized into equities, options and bonds etc to ensure best execution and prevent insider trading for over 1 million clients.
- Developed dynamic visualizations in Fidelity Brokerage and Compliance using Tableau which made the decision making process for senior management team relatively easier.
- Achieved over 30% improvement in delivery of major BI initiatives by simplifying KPIs, report consolidation and business alignment..
- Steered the implementation of Engaged Acres metric in enterprise data lake, which led to over 72% cost reduction and 40% faster performance by migrating the Big Data processing to Databricks.
- Lead globally distributed team of over 10 data engineers, wranglers & data scientists in three different continents.
- Created a common framework & platform for Precision Ag CI metrics and automated the reports improving overall delivery and decision-making.
- Led cross-functional teams and delivered data-intensive (30 TB/day) FMIS application (with aggressive SLA) hosted in AWS for agronomic decision support.
- Undertaken an expatriate assignment to build an analytics team from the ground up and scaled-up global delivery model.
- Collaborate with executives in formulating key performance indicators and metrics to measure success in Precision Ag Business.
- Lead team of exploratory audit analysts responsible for annual financial goal of $84M in client savings
- Conducted monthly training for business analysts that included analytic and operational processes
- Conducted monthly training for exploratory audit analysts that included analysis of different overpayment types and extraction of data for concepts
- 30% Business Analysts promoted out
- Devised automation technology that retrospectively reviewed 79 million claims in 2020
- Created savings growth project among matrix partners to combine various skill sets and new client data sources
- Presented monthly leadership reporting of business key performance indicators
- Deployed and consulted on inventory management report for Operations teams
- Constructed workflow management tools and associated tableau reporting
- Build Product Analytics practice as a part of the Marketing and Product team at Blue Shield of California by putting in place the appropriate tools and technology, people, and processes.
- Ensured data quality and integrity of Product Analytics database by validating data with Finance teams, CoHC Analytics teams, and other subject matter experts.
- Led a team of 3 data analysts to develop a self service data solution for members of Marketing and Product teams.
- Worked with Small Business Account Management, Sales, and Installation & Billing teams to develop a member network disruption analysis, which helped SBM Account Management convert members to Trio Products and reach retention targets.
- Conducted comprehensive competitive insights analysis for each Line of Business and conveyed competitive intelligence to Senio
- Informally managed Product Analytics team by mentoring analysts in technical and business aspects of reporting and analytics.
- Led the development of standardized and automated Tableau dashboards to help Strategists, Product Managers, and Senior Leadership understand Product Performance, Sales Trends, Regional Membership, Network Coverage, and Member Demographics.
- Conducted the first comprehensive custom benefits analysis to identify portfolio plan gaps to reduce customization in SAS by building programs and a SAS Project.
- Built several SAS Projects and programs to provide automation for Product Analytics database.
- Led efforts involving cross-functional teams to conduct data and analytics to understand areas of investment, key opportunities, and network strategy for 2019 and 2020.
- Responsible for identifying appropriate data sources for analytics team, and for ensuring that all reporting and analytics are done with the best available data.
- Led an effort to conduct comprehensive & strategic Network Gaps and Opportunities analysis in collaboration with Provider contracting, Network Management, Legal Teams, and Senior Leadership aimed at improving multiple Blue Shield Provider Networks.
- Worked with Product & Marketing leadership to drive data analytics effort as part of a marketing campaign to help improve utilization of tele-health and home-visit services.
- Effectively presented results of analyses to stakeholders, Senior Leadership, and C-Level Executives to drive business decisions.
- Collaborated with IT Data Management teams as the Commercial Products Data Steward for the Product Book of Record to resolve data quality issues in the product domain of the central data warehouses.
- Managed digital marketing team for a consumer-focused retail/ecommerce business. Including web analytics, SEO, SEM, social, email nurture, website optimization, e-commerce, and A/B testing using multiple platform analytics tools.
- Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Proactively analyze business levers to guide revenue growth and profitability across all online sales channels and digital marketing efforts.
- Lead the conceptualization, design, launch and reporting of website A/B and multivariate testing.
PRO TIP
Don't make the same mistake everyone else does. What we mean is, don't list your Analytics Manager job responsibilities instead of your achievements. Recruiters know what you do. They want to know what kind of difference you can bring to their company. Focus on what you've accomplished.
Action Verbs for your Analytics Manager Resume
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Analytics Manager Resume: The Skills Section!
How to write a strong Analytics Manager resume skills section?
- Make sure to include all types of skills - soft, hard, technical;
- Focus on skills that show your expertise in the field;
- Check the job description for keywords and make sure to add them to your resume – this will help you pass ATS;
- Leave room for discussion – elaborate on some of your strongest skills in other sections of your resume
Top Skills for your Analytics Manager resume
Google Analytics
Wordpress
SEO
HTML
Social Media
Communication
Creative problem solving
Analytical thinking
Influencing
Team work
PRO TIP
Avoid getting sidetracked by Applicant tracking software by including a tech skills' section matching the job description and your own qualifications.
Recommended reads:
Analytics Manager Resume Header: Tips, Red Flags, and Best Practices
CHECKLIST For Your Analytics Manager Resume Header
- Your name and surname in a legible and larger resume font
- The job title you’re applying for or your current job title as a subheading to your name
- Link to your portfolio or online profile, such as LinkedIn
- Address (City and State for the US; just your city for rest of the world)
- Email address
- Headshot (required or welcomed in the EU; not required and sometimes frowned upon in the US)
Stick to popular email providers such as Gmail or Outlook. And use these professional formats to create your username:
- first.last@gmail.com
- last.first@gmail.com
- firstlast@gmail.com
- f.last@gmail.com
- first.l@gmail.com
Recommended reads:
PRO TIP
Some companies, states, and countries have policies about identifying information like photos on your Analytics Manager resume. Be sure to check all the relevant rules before submitting yours. If you’re in doubt, you can always try contacting the company’s HR department to ask for their policy.
A Career Summary for Your Analytics Manager Resume
Things to include in your Analytics Manager resume summary:
- Your total years of experience in the industry;
- 2-3 of your most remarkable achievements so far;
- How your experience relates to the position you’re applying for;
- A very brief description of your strengths.
Resume Summary Formula:
PRO TIP
You’re not going to get hired simply because of a good summary or objective. However, your recruiter can bump you up in front of similarly experienced candidates who didn’t demonstrate such passion and drive.
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Analytics Manager Resume: The Education Section
Things to include in your resume’s education section:
- Your highest education degree – including course, year of graduation, institution;
- Awards received as part of your education;
- Extracurricular activities that have helped you gain relevant skills;
- Certifications that have helped you master new skills and increase your expertise;
- Entry-level applicants only: relevant courses and projects.
Top Certifications for your Analytics Manager resume
Microsoft Endpoint Manager Training with Complete Concepts
Microsoft Endpoint Manager for Beginners -Configuration Manager SCCM, Microsoft Intune, Desktop Analytics, Co-management
Google Analytics Advanced Training - Master Google Analytics
Advanced Google Analytics Mastery - Advanced Features, Tracking, Reports and Analysis & Overview of Google Tag Manager
Master Google Analytics (UA) with Tag Manager & Data Studio
Ace certification. Google Analytics Reports, Tag Manager and Google Data Studio lessons for beginners & advanced users.
Google Analytics and Google Tag Manager Essentials
Step by step process to set-up, implement and manager Google Tag Manager to boost your site performance
Analytics & Data Science for managers & humanitarians
* * Professional Course in Analytics for humanitarians* * Main methods for hidden regularities and patterns findings.
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PRO TIP
If you hold a certain major and a minor, your majors should be mentioned first.
Choosing the Right Format for Your Analytics Manager Resume
In general, there are three basic formats for your resume:
- Reverse-chronological resume format;
- Functional skills-based resume format;
- Combination (or Hybrid) resume format.
Some things to consider when choosing the right format for your Analytics Manager resume include the stage of your career, whether you have all the right skills required for the job or are looking for an industry change, and what field you’re looking to grow in.
The reverse-chronological resume format is the most common one. It lets you describe your most recent job and then move backward. This makes it great for people who have around or less than 10 years of experience and are looking to highlight only their work-related skills and qualities.
If you’re just starting your career journey and reverse-chronological resumes sound too demanding, go for the functional resume format. It’s ideal for showcasing your strengths, personal qualities, skills, education, and the courses you’ve taken, without putting too much pressure on experience and expertise.
Don’t worry if neither of these sounds suitable for you – the hybrid or combination resume format will surely match your needs. It’s similar to the reverse-chronological, but with a catchy twist. Combination or hybrid resumes are great for showcasing both your experience and work-related skills and your personal qualities. Add a “What my day looks like” section for enhancing the jaw-dropping experience!
Here are some more things worth remembering when it comes to formatting your Analytics Manager resume:
- Choose standard 1-inch resume margins;
- Go for traditional resume fonts sized 10-12p;
- Match the length of your Analytics Manager resume with your experience – choose a one-page template if you have less than 10 years of experience, and be careful with two-page templates – use them only when applying for executive positions;
- Save your resume in PDF to avoid formatting issues and potential unauthorized editing.
Tired of getting rejected? Check out this article on how to craft a resume that stands out!
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PRO TIP
Sometimes you’ll want to go after a job which requires more experience than you have. Instead of using a typical Analytics Manager resume layout, you can use a creative layout. Getting noticed is the most important challenge and a creative resume layout might help you get invited for an interview as most of other accountants have boring resume designs.
Other sections suitable for your Analytics Manager resume
Depending on the position and the industry, you can spice your resume up by adding some more sections. They will help the recruiter get a glimpse of who you are as a person, besides all your job-related skills and qualities.
Here are some examples:
How to Add Creativity to Your Analytics Manager Resume
Gone are the days when creative resumes were frowned upon by recruiters!
What’s more, the right amount of creativity will make recruiters remember you and want to learn more about who you are – both as an individual and as a professional.
There are two ways to build a creative resume - add creative sections or go for a more creative design approach in general. Go for whatever suits you, the position, and the industry most!
What Makes a Great Analytics Manager Resume: Key Takeaways
- Choose a resume layout that sends the right message across and fits your current career situation;
- Create a resume header that shows your desired job title, and easy to find contact numbers;
- Be specific about your experience, accomplishments and future goals in your summary;
- Feature detailed metrics and specific examples that show the impact you made in your previous roles when describing your experience;
- List soft skills backed by examples;
- Add all of your technical skills and certifications that you have and match the job description;
- Show off a dash of personality in your resume that will demonstrate your culture fit and the right mix of hard and soft skills.
