Product Analytics Resume Sample
Amelie Weissnat
74059 Yasmin Throughway,
Los Angeles,
CA
+1 (555) 585 3923
Work Experience
Manager, Product Analytics
08/2017
-
PRESENT
Detroit, MI
- Strong quantitative, analytical skills and proficiency in building models using statistical tools
- Strong attention to detail/knowledge of forecasting, management reporting and analytical procedures and techniques
- General understanding of the Personal Banking industry
- Outstanding problem solving skills and relationship management skills
- Strong leadership skills and willingness and ability to engage senior leaders in constructive debate
- Proactive involvement with key stakeholders to find opportunities to achieve RBC’s Client First Initiative goals by simplifying processes to enable faster implementation and decision-making,
- Product Profitability (50%)
Product Analytics
04/2013
-
06/2017
New York, NY
- Work experience implementing and reporting on Google Analytics
- Work experience using SQL is required
- Experience in applying multivariate statistics, including logistic regression modeling, to business problems or market research
- Additional programming languages (e.g. Python) are necessary
- Experience with distributed data processing system, such as Hadoop/MapReduce and Hive
- Experience implementing and reporting on Google Analytics
- Experience with defining, implementing and analyzing A/B and multivariate experiments
- Think strategically, analyze and interpret market and consumer information
Product Analytics & Insights Intern
12/2007
-
12/2012
Houston, TX
- Ad-Hoc Requests (20%)
- Provide expertise, direction and oversight to product business intelligence and data engineering efforts; maintain and drive execution of product’s business intelligence roadmap
- Take a hands-on role in evolving and mining Showtimes’s structured and unstructured data systems, with an emphasis on richer insights from data and easier access to data
- Passion for technology and consumer products
- Experience in solving business problems through fact based and scientific analytics
- Deep understanding of fundamental statistical concepts (hypothesis testing, confidence intervals, design of experiments, sample size determination, statistical significance etc.)
- Query databases (SQL, Hive etc.). Familiarity with R/Python
- Experience in providing analytics to inform new product development and iteration
Education
Southwest University
2001 - 2006
Science's Degree in Marketing
Professional Skills
- Strong ability to influence along with excellent decision making, collaboration and relationship building skills
- Experience working with cross functional teams and strong relationship management skills
- Strong organizational skills, with the ability to work in a fast-paced environment and manage multiple deadlines and priorities
- Excellent organization and time management skills; prioritize multiple projects simultaneously
- Experience with advanced SQL programming skills with the ability to write programs against Netezza and DB2
- Strong analytics and patient-based forecasting skills
- Excellent presentation skills, both verbal and written, adjusting delivery to target audience
How to write Product Analytics Resume
Product Analytics role is responsible for programming, presentation, software, design, database, analytics, organization, retail, finance, credit.
To write great resume for product analytics job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Product Analytics Resume
The section contact information is important in your product analytics resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Product Analytics Resume
The section work experience is an essential part of your product analytics resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous product analytics responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular product analytics position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Product Analytics resume experience can include:
- Strong communication and interpersonal skills, and ability to work seamlessly with a cross-functional team of analysts, technologists, marketers and product managers
- Quickly learn and adapt to new reporting and software tools, including statistical software, reporting applications, and other analytical environments
- Excellent leadership, problem-solving, interpersonal and communications skills
- Experience doing quantitative analysis on digital products or digital marketing experiences
- Proven experience managing high-level strategic questions while also diving into the details of specific analyses
- Demonstrated ability and experience in applying secondary data to market assessments
Education on a Product Analytics Resume
Make sure to make education a priority on your product analytics resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your product analytics experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Product Analytics Resume
When listing skills on your product analytics resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical product analytics skills:
- Good technical skills (comfortable with programming independently of platform or language and practical experience)
- Effective team building/consulting skills and ability to work collaboratively in cross-functional teams
- Work independently and operate effectively in a matrix organization
- Excellent organization skills, and ability to manage multiple projects concurrently
- Translate and present complex analysis in executive summaries. Excellent communication and project management skills
- Strong organizational skills, self-motivated, able to multi-task, and meet deadlines
List of Typical Experience For a Product Analytics Resume
1
Experience For Manager, Product Analytics Resume
- Experience working with Product Managers and Engineers to apply analytics and experimentation to drive iterative experience design decisions
- Experience working with product managers and user experience design teams
- Experience in statistical modelling utilising tools such as SAS, R, SPSS; and
- Experience in software development or data engineering, especially in building analytics tools and products
- Experience synthesizing information from numerous sources and presenting concise analyses
- Solid understanding of RBC Banking Products
2
Experience For Director, Product Analytics Resume
- Work experience as analyst or in an analytical role partnering with senior leaders to translate business questions into analytical tasks
- Experience in consumer-facing web and mobile product analytics, especially social media and user interaction data analysis
- Country-level analytics and forecasting experience required
- Deep people management/coaching experience
- A proven history delivering business outcomes and product successes through analyses and insights
- Combined work experience in data analytics, data engineering, product management or strategy
3
Experience For Manager Product Analytics Resume
- Partner with key stakeholders to prioritize asks based on highest potential value added, and proactively drive initiatives from there
- Create and present concise reports for a senior corporate audience through effective and persuasive presentations
- Experience in an analytical role in ecommerce, technology company, consulting, investment banking, or product management
- Recruit strong Product Analysts to grow the team
- Fluency in SQL and Statistical tools with a solid understanding of statistical analysis, experiment design, and the common pitfalls of data analysis
- Demonstrated ability to lead and influence teams and work cross-functionally in a highly collaborative environment
- Prioritize, evaluate and recommend next steps for all version tests
4
Experience For Director of Product Analytics Resume
- Strong understanding of database technologies and ability to write code to gather data
- Strong ability to pull data from proper sources, named spaces and normalized views. Able to determine the quality of data is fit for use in analysis
- Advanced visualization experience (data transformation, segmentation, clustering, etc.) to create dynamic dashboards (e.g. Spotfire, Tableau, D3)
- Conduct analysis to provide actionable insights to improve customer experiences across multiple channels
- Experience with web and social media analytics tools
- Product performance insights that are appropriately prioritized on product roadmaps
- Proposing, defining, and executing measurement strategies to translate business goals into KPIs
- Implementing statistical tests to measure new product economics
- Collaborating with digital product teams to define relevant strategic questions about user growth and engagement
5
Experience For Senior Manager Product Analytics Resume
- Integrating qualitative & quantitative findings to define complete profile of digital consumer needs
- Working knowledge of eFRS and GL Requestor
- Monitoring product release cycles to ensure appropriate reporting is available
- Presenting and communicating results and recommendations to leadership teams across the organization
- High attention to detail and data integrity, consistently pursuing quality in accomplishing tasks and ensuring that work product is 100% accurate
- Demonstrable expertise in various analytic modeling techniques including multivariate/linear regression, machine learning algorithms, etc
6
Experience For Analytics Manager, Product Analytics Resume
- Establish measurement frameworks for driving consistency amongst critical metric tracking
- Establish measurement frameworks for driving consistency across critical metrics tracking
- Be an innovator that uses quantitative modeling, statistics, data mining and visualization techniques to create capabilities and/or insights
- Assist in standardizing monthly business reviews for all functions as it relates to data analytics and metric reporting
- Leading or managing a team
- Highly proficient in SQL or other programming languages
7
Experience For Senior Manager, Product Analytics Resume
- Understand key business and conversion drivers to better define KPIs for the Product organization that are aligned with the company’s overall strategic direction
- Collaborate with cross-functional teams globally - especially engineering and other Analytics teams - to clarify and document customer requirements
- Prepare, produce, and present reporting on a weekly, monthly, and quarterly basis
- Knowledge/background in Statistics, Hypothesis testing and various distributions
- Ensure Product Analytics alignment with stakeholders across Product, Engineering, and Design
- Be a strategic partner with the product leadership team, influencing product strategy and decisions through data and insights
8
Experience For Senior Director, Product Analytics Resume
- Resolve Omniture tracking requirements for specific user behavior and version tests
- Partner with business owners (Product/Marketing) to diagnose business problems
- Innovate and lead development effort to advance our product feature testing platform
- Drives the measurement of success for each product across customers including perceptual metrics, scorecard metrics, adoption and utilization
- Provides guidance on data mining and analysis to drive product strategy and development
9
Experience For Manager of Product Analytics Resume
- Leverage and create frameworks to assist with communicating complex ideas to different audiences
- Partners with the business to address the requests feasibility utilizing his/her technical and functional expertise
- Collaborate heavily across Product, Finance, Treasury, Marketing and partners in other lines of business
- Recruit and lead a high-performing team of analysts and data scientists
- Own development and communication of product performance (including but not limited to conversion and funnel) to a broad range of senior stakeholders
- Comfortable presenting to executives, partners and peers
- Recognize revenue and costs impacting the business and initiatives that can influence the portfolio
10
Experience For Digital Product Analytics Manager Resume
- Lead as a subject matter expert for personal lending products
- Recommend/review ad hoc & ongoing analysis
- Stay updated about various sources and DataMart containing relevant data and appropriate fields
- Understand funds transfer pricing (FTP) and default methodologies, as well as use of information from Insight System
- Expert knowledge in Oncology forecasting and epidemiology
List of Typical Skills For a Product Analytics Resume
1
Skills For Manager, Product Analytics Resume
- Basic SAS Programming Skills
- Prior experience in the banking or financial industry would be an asset
- Prioritize and re-prioritize based on demands of the business
- Mixed contractor/employee team leadership experience and project management experience with the ability to deliver consistently on scope and timelines
- Extraordinary communication skills and attention to detail
- Utilize technical knowledge and leadership skills to manage multiple projects across different data platforms & domains, and to deliver data products
2
Skills For Director, Product Analytics Resume
- Extensive experience in developing and managing modeling projects using machine learning and statistical packages (R, SAS, Python)
- Experience using multiple models and methods for measuring, analyzing, and reporting on user interaction data
- Experience using SQL and manipulating raw data for discovery analytic purposes
- Strong understanding of product, price, risk management and insurance regulation concepts, with working knowledge of lines, rate plans and product offerings
- Proven success leading a team (>3 team members), under very demanding timelines
- Experience analyzing data using SQL. Statistical tools (i.e. R, Stata)
- Experience building machine learning/predictive models
- Experience in leading and developing a team of technically advanced analytical professionals
3
Skills For Manager Product Analytics Resume
- Experience working in a fast paced, evolving, team environment
- Experience in financial modeling and analysis
- Strategic thinking with strong ability to evaluate and assess oncology market opportunities and dynamics
- Experience working in a credit card business is an asset
- Establish and maintain effective working relationships with all cross functional teams
- Experience using agile methodologies and tools to manage analytics projects
- Management consulting industry experience
- Curiosity and real passion for making an impact along with strong attention to detail
- Background in economics, statistics, computer science, engineering or experience in relevant fields
4
Skills For Director of Product Analytics Resume
- Work experience doing quantitative analysis to solve business problems
- Data science and modeling experience - A/B test design
- Experience working with data visualization tools to deliver results
- Self-motived with 3-5 years of demonstrated success in web, mobile, marketing, product, or customer analytics
- Strong track record of influencing across a range of audiences, both internal and external audiences, and across a range of cohort
5
Skills For Senior Manager Product Analytics Resume
- Experience working in an e-commerce analytics environment
- Experience with web analytics tools including Omniture, Tealeaf
- Self-motived with 5-7 years of demonstrated success in web, mobile, marketing, product, or customer analytics
- Advanced (2~3 years) SQL experience such as query optimization, analytical functions, full text searching, volatile tables, etc
- Able to establish and maintain effective working relationships with the business partners, vendors, and colleagues
6
Skills For Analytics Manager, Product Analytics Resume
- Partner with product leaders, designers, and engineering managers to improve our products and prioritize projects for impact
- Become a crucial actor in the adequate prioritisation of resources by estimating the impact of opportunities and potential investments
- Experience in an analytical role with focus on data analytics and business insights
- Experience in the Analytics space
- Experience with Web Analytic platforms (ideally Adobe Analytics)
- Experience with various BI tools and platforms
- Strong ability to synthesis disparate data in order to develop a comprehensive view of current and future Oncology market situations and opportunities
- Excellent technical knowledge of analytical tools and techniques
- Experience working with large complex data to aggregate, organize and prepare for use in data analysis
7
Skills For Senior Manager, Product Analytics Resume
- Demonstrated leadership across managing high visibility projects without much guidance and solve problems quickly with minimal oversight
- Experience in product management, product strategy leadership or related work
- Experience with data visualization tools (Qlikview, Tableau, Spotfire)
- QL experience, with knowledge of relational databases
- : SQL experience, with knowledge of relational databases
- : Professional experience in a business/financial analytics role
- Someone with drive, who feels a strong sense of ownership, and actively seeks out new opportunities
- Experience of management, mentoring and coaching
8
Skills For Senior Director, Product Analytics Resume
- Experience with large data sets through statistical software (ex. R, SAS) or other methods
- Experience with Hive/Hadoop/Omniture is highly desired
- Drives partnerships with the Product Manager to determine the measures of success and guide good usage of outcome driven metrics
- Proven ability to work through complex business problems and partner with internal clients with a consultative approach
- Experience with at least two of the data science tools such as R, Spark, Python, Scala, MATLAB, SPSS, SAS, Stata, etc
- Experience implementing deep learning/machine learning models
- Strong analyst who is attentive to detail and sets a high bar for work produced by the team
- Product analytics experience preferably within media (music, television, etc.)
- Understanding of statistics and data modeling techniques (ex. Regressions, Cohort analysis, Time Series, Clustering, Factor Analysis)
9
Skills For Manager of Product Analytics Resume
- Understanding of big data processing and shown ability to extract and manage information extracted for executive reporting
- Working knowledge of accounting principles (GAAP/IFRS)
- Understanding of advanced statistical/predictive modeling, computational systems, and operation research and optimization techniques
- Understanding of Oncology pharmaceutical markets and knowledge of industry data sources
- Inspiring leader with a driven, results-focused attitude
- Deep understanding of a winning team’s DNA and a track-record of building well-rounded teams
- Sets direction on plan to drive improvement of scorecard metrics, including defining metric levers, cross- functional working groups, and initiative tracker
- Guide and mentor other team members while acting as a sounding board to driving robust analytical offerings
- Track record of leading highly collaborative cross-functional efforts, including internal partnering with business leaders
10
Skills For Digital Product Analytics Manager Resume
- Support the building of new data marts for operational reporting and migration of existing data-marts and analytics to AWS Analytics Platform
- Work efficiently in a matrix managed structure and maintains a sound understanding of how to engage the organization to bring insights into action
- Identify strategic opportunities with a thorough understanding of the Personal Lending products
- Maintain a balanced view of product and pricing strategy, understanding the strategic trade offs between price and volume, revenue and balances
- Detailed knowledge and understanding of Home Equity Financing products and programs functionality and behaviours under various economic conditions
- Support the team with robust analysis to be used in segmentation, forecasts, financial modeling, and marketing attribution
List of Typical Responsibilities For a Product Analytics Resume
1
Responsibilities For Manager, Product Analytics Resume
- Experience in analytics functions for a technology company, including 5+ years as a manager
- Utilize data science tools to build predictive models, machine learning algorithms and prescriptive analytics to improve Product performance
- Acts as a mentor and lead peers in a project and Provide Business Intelligence and Analytical technical expertise for developing reports, and dashboards
- Able to work across different business units/countries to communicate findings company-wide
- Synthesize data and analysis into strategic recommendations with measurable and relevant business metrics
- Manage and improve regression models to forecast and benchmark website performance
- Strong analytics and business intelligence background with have a proven track record in delivering new reporting and insights capability in a large organisation
- A strong knowledge of major enterprise database systems such as Teradata, Oracle, SQL Server & Big Data platforms
- Lead, develop and mentor a team of product analysts to business partner with the product team
2
Responsibilities For Director, Product Analytics Resume
- Be a strategic partner with the product, marketing and operations teams to drive data driven decisions. Provide comprehensive reporting, analytical and advisory services to the teams by generating insights into our product and services
- Understand the business needs, and define key metrics to establish baseline understanding of our product, and to measure performance of different drivers of KPIs. Design and develop standard dashboards to monitor the trends
- Go deep into the product and the data to develop hypothesis and conduct analysis to answer business questions
- A creative problem-solver who thrives on challenges, and is accustomed to a fast pace usually involved in multiple projects
- Passion for high-growth business and desire to contribute in a fast-paced environment
- Understanding of advanced statistical/predictive modeling, computational systems, operation research and optimization techniques is required. Experience with at least two of the data science tools such as R, Spark, Python, Scala, MATLAB, SPSS, SAS, Stata
- Mentor, empower, and coach Product Analysts and Product Analyst Leads
- Enable a strong data driven culture for Dropbox by working with Data Infrastructure, Analytics Platform, Business Intelligence, and other Analytics team teams to define best practice for data logging, rigor and governance
3
Responsibilities For Manager Product Analytics Resume
- Set direction and drive standard methodologies for leveraging experiments in product development lifecycle
- BS/BA in Math, Economics, Statistics, Computer Science, or other quantitative field
- Lead analytics on various products to help drive actionable insights
- Use data and insight to co-develop product roadmaps with product managers
- Craft a data centric view of customer behavior to diagnose drivers for business impact
- Conduct analytic deep-dives of critical business issues that impact performance and translate the analyses into actionable recommendations
4
Responsibilities For Director of Product Analytics Resume
- Closely monitor business performance to identify risks, new opportunities and industry trends
- Challenge Product Managers to think differently about how they digest and use information to make informed decisions
- Superior analytic problem solver, with a focus on deliver actionable recommendations
- Attested ability to frame problems and structure analysis, and deliver coherent conclusions and insights
- Identify new data instrumentation priorities and collaborate with data engineering team on the full execution from event modeling to data to Analytics ETL to Analytics tools/Analytics projects
- Manage and further develop on existing and new analytics technologies to enable easy access to key product insights through a range of dashboards
- Present in external conferences, publish innovative work and write blog posts
- Proficiency in SQL, Spark-SQL and Hive
5
Responsibilities For Senior Manager Product Analytics Resume
- M.S. in Statistics, Applied Mathematics or in a relevant technical field is required
- Passionate, approachable, thoughtful, team player, respectful to our team and customers
- Thrilled with challenges, unknowns and opportunity to define and build things
- Track the overall success of product initiatives
- Sets direction on how to pull user, transaction, and other data from complex systems in order to format into reports for the Product Managers
- Synthesize results from experiments into data for the Product Managers to interpret success or failure
- Monitor the overall health of products to provide information to Product Teams
6
Responsibilities For Analytics Manager, Product Analytics Resume
- Establishes KPIs, oversees visual creation (e.g. dashboard, report card, etc) to keep Product teams informed and aware of overall health of the product
- Establishes the standardization of success metrics across products
- Develops and manage strong, collaborative relationships with product owners, client organization team members, and other stakeholders, as needed to drive results
- Actively engage with multiple departments across the organization to solve problems and identify trends and opportunities
- High level of proficiency in SQL and Excel is required
- Establish frameworks and processes to ensure accountability for core KPIs and their respective targets
- Quickly diagnose business problems and translate high-level business questions into analysis roadmaps
- Analyze supply chain operations, cost metrics, KPIs, and other related subject areas
- Lead cross-functional teams, including direct and indirect reports, to identify issues and opportunities, evaluate trends, and frame analytical solutions and drive results
7
Responsibilities For Senior Manager, Product Analytics Resume
- Owns the integrity of his/her team work and actions. Proactively suggests and implements data products process improvements
- Tell a story with data to our stakeholders and present information in a way that both technical and non-technical audiences can understand. Express ideas clearly, concisely in understandable form, both orally and in writing
- Act as the face of analytics, attend and lead meetings, interact with executives and intake request and actions
- Solid ability to create portals and automated dashboards taking advantage of aggregations, proper formatting and utilizing standard BI tools (e.g. SSRS, PowerBI, Cognos)
- Lead a team of six ranging from associate to VP level
- Support analytical requests for 50MM+ deposits accounts and $7B in annual non-interest revenue
- Write, execute, and supervise creation of advanced level SAS / business intelligence code
- Represent Chase with third party business intelligence partners
- Drive transition and adoption of our new big data platform
8
Responsibilities For Senior Director, Product Analytics Resume
- Build and support internal customer relationships and align expectations for capabilities across teams
- Create capabilities that reduce non-value add activities through automation, and help improve efficiency of processes
- Work with your team to develop new analytic methods
- Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
- Lead the analytical platform for our product teams
- Use data science methods to generate and test hypotheses. This includes: Performing analytical deep-dives to identify problems, opportunities and actions required; managing the design, execution, and analysis of A/B or multivariate testing programs; driving rigor and testing culture through product teams
- Analytics / data science experience or equivalent; 7+ years of experience managing and scaling high growth analytics / data science teams in a data driven e-commerce company
9
Responsibilities For Manager of Product Analytics Resume
- Well versed in the big data Ecosystem (Amazon EMR, Hadoop, Spark, R, Presto, Hive), database (Oracle, MySQL, Postgres, Microsoft SQL Server), NoSQL (Amazon DynamoDB, HBase, MongoDB, Cassandra), data warehousing (Amazon Redshift, Teradata, Vertica)
- A deep understanding of statistical analysis (e.g. hypothesis testing, experimentation, regressions) and familiarity with statistical packages, such as Matlab, R, SPSS, or SAS
- Conduct media product analytics using Nielsen, Google Analytics, Mixpanel, comScore, Nielsen, Freewheel, and Canoe
- Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
- Strategic problem solver who simplifies problems to their core elements and finds creative solutions
- Develop insights based on analytics and communicate results and recommendations
- Establish key performance indicators for all products; develop and maintain trackers, create reports
- Be up-to-date on industry trends and related consumer behavior
- Hands-on experience with syndicated consumer research/product analytics/audience measurement applications (Mixpanel, comScore, Google Analytics, Nielsen, OnDemand Essentials)
10
Responsibilities For Digital Product Analytics Manager Resume
- Drive and achieve targets for current and future years, by supporting the growth of our active user base
- Define KPIs/metrics to drive product performance on user growth and user retention, and set appropriate stretch targets to maintain urgency and delivery of results. In collaboration with Product and Strategy
- Ensure performance monitoring is in place and roadmaps are defined based on opportunities
- Identify, conceptualize and lead a range of insights, predictive modeling and data science projects primarily in product area but potentially in other areas as well. Responsible to provide direction, day-to-day management and technical review to the team of analysts and data scientists
- Lead small to large projects that informs both day-to-day tactical decisions and long-term strategic vision. Interpret and present the findings to company executives and other internal stakeholders as needed
- Partner with data engineering to determine the vision and roadmap for analytics and data science technology infrastructure that ensures reliable delivery of high-quality data and insights products
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