<ul><li>Identify and illustrate key business trends and drivers by framing problems effectively, analyzing data, interpreting results, and creating visualizations.</li><li>Develop well-designed management scorecards and dashboards to ensure accurate and robust reporting of key business/project/initiative metrics.</li><li>Provide impactful analysis based on thorough economic, financial, and statistical evaluations.</li><li>Estimate the impact of various scenarios using rigorous analytical and financial models.</li><li>Design and validate methods to optimize customer interactions in terms of Who, When, Where, and How, demonstrating proficiency in data science techniques applicable to this context.</li><li>Cultivate a deep understanding of relevant data sources, business intelligence technologies, and analytical tools to swiftly address senior executive inquiries.</li><li>Craft compelling presentations and documents, effectively communicating findings with clarity and influence.</li><li>Proactively communicate factors influencing deliverables to senior management and articulate assumptions and quantitative methodologies to colleagues across teams.</li></ul>Requirements:<ul><li>Self-motivated with the ability to thrive under tight deadlines.</li><li>Passionate about delivering accurate, relevant, high-quality, and impactful results with acute attention to detail.</li><li>Strong written and oral communication and presentation skills.</li><li>Capacity to reconcile information from multiple stakeholders and effectively manage communication across diverse audiences, including technical vs. business and junior vs. senior.</li><li>Demonstrated intellectual curiosity regarding business drivers.</li><li>Willingness and eagerness to quickly learn new tools and technologies.</li></ul>Basic Qualifications:<ul><li>Minimum of 3 years of relevant experience in Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or related field.</li><li>Quantitative degree (e.g., Sciences, Operations Research, Economics, Mathematics, Engineering) or equivalent experience in an analytical role.</li><li>Background in content/media, marketing tech, subscription business, or internet industries preferred, with familiarity in ecommerce analytics, marketing analytics, experimentation, membership/loyalty analytics, and revenue management techniques being advantageous.</li><li>Proficiency in data/analytical tools, including strong experience with SQL, proficiency in data visualization tools such as Tableau or Microstrategy, knowledge of statistics and modeling, and experience with programming languages like Python, R, Jupyter, or other analytics/data science tools.</li></ul>Preferred Qualifications:<ul><li>Master's degree in Sciences, Operations Research, Economics, Mathematics, Engineering, or similar field, or equivalent experience in an analytical role.</li><li>Proficiency in Python, R, or other analytics/data science tools.</li><li>Excellent written and oral communication/presentation skills.</li></ul>

In this role you will be responsible for surfacing data-driven opportunities for the business functions (Content, Marketing, Product, and/or New Growth/International). You will provide tactical, operational, economic, and financial analysis to frame and drive decisions, develop KPIs and scorecards to track initiative progress/performance and scientific models to drive a focus on results and execution. This is a 8 month contract role and is onsite 2-3 days per week in Newark, NJ. Basic qualifications<ul><li>3+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or in a related field.</li><li>Quantitative degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data driven/analytical role</li><li>Background in content/media, marketing tech, subscription business, and/or internet industries preferred - an understanding of ecommerce analytics, marketing analytics, experimentation, membership/loyalty analytics and revenue management techniques a plus</li><li>Knowledge of data/analytical tools – Strong experience with SQL ; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools</li></ul> Preferred qualifications<ul><li>MS degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data driven/analytical role</li><li>Proficiency in Python, R or other analytics/data science tools</li><li>Excellent written and oral communication/presentation skills</li></ul>

BEPC is looking for an Analytics Manager in Newark, NJ to join our fast-growing team of consultants!W2 Contract: 8 months with opportunities for extensions based on business needs and performance.**Hybrid position in Newark, NJ. Fully remote is acceptable. **Pay Range: $47.84-76.92/hr. plus we offer Medical, Dental, Vision and Life Insurance benefits! About this role: As a Manager of Analytics within the company’s Analytics and Data Science group, you will be responsible for surfacing data-driven opportunities for the business functions (Content, Marketing, Product, and/or New Growth/International). You will provide tactical, operational, economic, and financial analysis to frame and drive decisions, develop KPIs and scorecards to track initiative progress/performance and scientific models to drive a focus on results and execution. You are a “doer”, someone that can code at an excellent level, and like to take ownership of data products or prototypes (being involved in conception, to design, to specification, to code, to test, to measurement, to presentation). You will partner with engineering and data science to marketing and product management – and develop the knowledge and skill to be a trusted technical advisor across a wide range of business areas. The successful individual will be able to work with minimal instruction and oversight, conduct multiple tasks and projects simultaneously, maintain relationships with senior leaders, and own deliverables end to end. Critical to the success of this role is your ability to think intentionally, develop insightful analysis, communicate findings concisely to leadership, work effectively as part of a cross functional team, and analyze big data. Key Job Responsibilities: <ul><li>Illustrate key business trends and drivers through effective problem framing, data analysis, interpretation, and visualization.</li><li>Create well designed management scorecards and dashboards that ensure accurate and robust reporting across key business/project/initiative metrics.</li><li>Deliver impactful analysis based on robust economic, financial, and statistical analysis.</li><li>Estimate the impact of different scenarios using robust analytical/financial models.</li><li>Develop and validate methods to optimize the Who, When, Where and How of all our interactions with customers, and demonstrate a good command of data science techniques that can be drawn upon in that context.</li><li>Develop an in-depth knowledge of all relevant data sources, business intelligence technologies and analytical tools – know to leverage all of our assets to answer senior executive questions fast.</li><li>Develop compelling presentations and documents - and communicate them with impact and intuition.</li><li>Proactively communicate factors affecting deliverables to senior management.</li><li>Explain assumptions and quantitative methodologies to colleagues in their and other teams.</li></ul> Requirements: <ul><li>Self-motivated with the capacity to work under tight deadlines.</li><li>Passion for the accuracy, relevance, quality, and impact of deliverable. High attention to detail.</li><li>Good written and oral communication/presentation skills.</li><li>Ability to reconcile information from and for multiple stakeholders, and to manage communication across different audiences (technical vs. business, junior vs. senior)</li><li>Intellectual curiosity for what drives the business.</li><li>Aptitude and drive to learn new tools quickly required.</li></ul> Basic qualifications: <ul><li>3-5 years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or in a related field.</li><li>Quantitative degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data driven/analytical role.</li><li>Background in content/media, marketing tech, subscription business, and/or internet industries preferred - an understanding of ecommerce analytics, marketing analytics, experimentation, membership/loyalty analytics and revenue management techniques a plus.</li><li>Knowledge of data/analytical tools – Strong experience with SQL ; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools.</li><li>Knowledge of Media Mixed Modeling (MMM) and Multi-Touch Attribution (MTA). </li></ul> Preferred Qualifications: <ul><li>MS degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data driven/analytical role.</li><li>Proficiency in Python, R, or other analytics/data science tools.</li><li>Excellent written and oral communication/presentation skills.</li></ul> USOPS

<h3>Job Description</h3><div>Job Description<div>Our client an undisputed leader in the streaming technology and publishing industry is seeking an Analytics Manager About this role As a Manager of Analytics within client's Analytics and Data Science group, you will be responsible for surfacing data-driven opportunities for the business functions (Content, Marketing, Product, and/or New Growth/International). You will provide tactical, operational, economic, and financial analysis to frame and drive decisions, develop KPIs and scorecards to track initiative progress/performance and scientific models to drive a focus on results and execution. You are a "doer, someone that can code at an excellent level, and like to take ownership of data products or prototypes (being involved in conception, to design, to specification, to code, to test, to measurement, to presentation). You will partner with engineering and data science to marketing and product management and develop the knowledge and skill to be a trusted technical advisor across a wide range of business areas. The successful individual will be able to work with minimal instruction and oversight, conduct multiple tasks and projects simultaneously, maintain relationships with senior leaders, and own deliverables end to end. Critical to the success of this role is your ability to think intentionally, develop insightful analysis, communicate findings concisely to leadership, work effectively as part of a cross functional team, and analyze big data. Key job responsibilities <ul><li>Illustrate key business trends and drivers through effective problem framing, data analysis, interpretation and visualization</li><li>Create well designed management scorecards and dashboards that ensure accurate and robust reporting across key business/project/initiative metrics</li><li>Deliver impactful analysis based on robust economic, financial, and statistical analysis</li><li>Estimate the impact of different scenarios using robust analytical/financial models</li><li>Develop and validate methods to optimize the Who, When, Where and How of all our interactions with customers, and demonstrate a good command of data science techniques that can be drawn upon in that context.</li><li>Develop an in-depth knowledge of all relevant data sources, business intelligence technologies and analytical tools know to leverage all of our assets to answer senior executive questions fast</li><li>Develop compelling presentations and documents - and communicate them with impact and intuition.</li><li>Proactively communicate factors affecting deliverables to senior management</li><li>Explain assumptions and quantitative methodologies to colleagues in their and other teams</li></ul> Requirements <ul><li>Self-motivated with the capacity to work under tight deadlines.</li><li>Passion for the accuracy, relevance, quality, and impact of deliverable. High attention to detail</li><li>Good written and oral communication/presentation skills</li><li>Ability to reconcile information from and for multiple stakeholders, and to manage communication across different audiences (technical vs. business, junior vs. senior)</li><li>Intellectual curiosity for what drives the business</li><li>Aptitude and drive to learn new tools quickly required</li></ul> Basic qualifications <ul><li>3+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or in a related field.</li><li>Quantitative degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data driven/analytical role</li><li>Background in content/media, marketing tech, subscription business, and/or internet industries preferred - an understanding of ecommerce analytics, marketing analytics, experimentation, membership/loyalty analytics and revenue management techniques a plus</li><li>Knowledge of data/analytical tools Strong experience with SQL ; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools</li></ul> Preferred qualifications <ul><li>MS degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data driven/analytical role</li><li>Proficiency in Python, R or other analytics/data science tools</li><li>Excellent written and oral communication/presentation skills</li></ul> This is a remote position.</div></div>

<h3>Job Description</h3><div>Job Description<div>Job Title: Manager, Analytics Location: Newark, NJ 07102Duration: 9 months DescriptionKey job responsibilities<ul><li>Illustrate key business trends and drivers through effective problem framing, data analysis, interpretation and visualization</li><li>Create well-designed management scorecards and dashboards that ensure accurate and robust reporting across key business/project/initiative metrics</li><li>Deliver impactful analysis based on robust economic, financial, and statistical analysis</li><li>Estimate the impact of different scenarios using robust analytical/financial models</li><li>Develop and validate methods to optimize the Who, When, Where and How of all our interactions with customers, and demonstrate a good command of data science techniques that can be drawn upon in that context.</li><li>Develop an in-depth knowledge of all relevant data sources, business intelligence technologies and analytical tools know to leverage all of our assets to answer senior executive questions fast</li><li>Develop compelling presentations and documents - and communicate them with impact and intuition.</li><li>Proactively communicate factors affecting deliverables to senior management</li><li>Explain assumptions and quantitative methodologies to colleagues in their and other teams</li></ul>Requirements<ul><li>Self-motivated with the capacity to work under tight deadlines.</li><li>Passion for the accuracy, relevance, quality, and impact of deliverable. High attention to detail</li><li>Good written and oral communication/presentation skills</li><li>Ability to reconcile information from and for multiple stakeholders, and to manage communication across different audiences (technical vs. business, junior vs. senior)</li><li>Intellectual curiosity for what drives the business</li><li>Aptitude and drive to learn new tools quickly required</li></ul> Basic qualifications<ul><li>3+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or in a related field.</li><li>Quantitative degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data driven/analytical role</li><li>Background in content/media, marketing tech, subscription business, and/or internet industries preferred - an understanding of ecommerce analytics, marketing analytics, experimentation, membership/loyalty analytics and revenue management techniques a plus</li><li>Knowledge of data/analytical tools Strong experience with SQL ; experience using data visualization tools like Tableau or MicroStrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools</li></ul>Preferred Qualifications<ul><li>MS degree (Science, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data-driven/analytical role</li><li>Proficiency in Python, R, or other analytics/data science tools</li><li>Excellent written and oral communication/presentation skills</li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div>Analytics Manager 1308757 #PPA leading podcast and audiobook company is seeking a Manager - Analytics. The successful candidate will provide tactical, operational, economic, and financial analysis to frame and drive decisions, develop KPIs and scorecards to track initiative progress/performance and scientific models to drive a focus on results and execution. The ideal candidate has 3+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or a related field. The company offers a great work environment!Analytics Manager Pay and Benefits:<ul><li>Hourly pay: $60-$70/hr (Pay varies based on candidate's location and experience)</li><li>Worksite: Leading podcast and audiobook company (Newark, NJ 07102 - Hybrid or fully Remote, candidates must be located in the United States)</li><li>W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL</li><li>40 hours/week, 8 Month Assignment</li></ul>Analytics Manager Responsibilities:<ul><li>Illustrate key business trends and drivers through effective problem framing, data analysis, interpretation and visualization.</li><li>Create well-designed management scorecards and dashboards that ensure accurate and robust reporting across key business/project/initiative metrics.</li><li>Deliver impactful analysis based on robust economic, financial, and statistical analysis.</li><li>Estimate the impact of different scenarios using robust analytical/financial models.</li><li>Develop and validate methods to optimize the Who, When, Where and How of all our interactions with customers, and demonstrate a good command of data science techniques that can be drawn upon in that context.</li><li>Develop an in-depth knowledge of all relevant data sources, business intelligence technologies and analytical tools – know to leverage all of our assets to answer senior executive questions fast.</li><li>Develop compelling presentations and documents - and communicate them with impact and intuition.</li><li>Proactively communicate factors affecting deliverables to senior management.</li><li>Explain assumptions and quantitative methodologies to colleagues in their and other teams.</li></ul> Analytics Manager Qualifications:<ul><li>3+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or a related field.</li><li>MS degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data driven/analytical role.</li><li>Quantitative degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data driven/analytical role.</li><li>Background in content/media, marketing tech, subscription business, and/or internet industries preferred - an understanding of ecommerce analytics, marketing analytics, experimentation, membership/loyalty analytics and revenue management techniques a plus.</li><li>Proficiency in Python, R or other analytics/data science tools is preferred.</li><li>Excellent written and oral communication/presentation skills preferred.</li><li>Knowledge of data/analytical tools – Strong experience with SQL; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools.</li><li>Self-motivated with the capacity to work under tight deadlines.</li><li>Passion for the accuracy, relevance, quality, and impact of deliverable. High attention to detail.</li><li>Good written and oral communication/presentation skills.</li><li>Ability to reconcile information from and for multiple stakeholders, and to manage communication across different audiences (technical vs. business, junior vs. senior).</li><li>Intellectual curiosity for what drives the business.</li><li>Aptitude and drive to learn new tools quickly required.</li></ul></div></div>

Analytics Manager Jobs in Newark, NJ

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Analytics Manager Jobs in Newark, NJ

Analytics Manager SqlMay 3, 2024

Analytics ManagerMay 3, 2024

Analytics ManagerMay 3, 2024

Analytics ManagerMay 2, 2024

Analytics ManagerMay 2, 2024

Analytics Manager PpMay 1, 2024

Analytics Manager PpApril 30, 2024

Analytics ManagerApril 16, 2024

Quick filters

Top companies

Analytics Manager Sql
May 3, 2024

Analytics Manager
May 3, 2024

Analytics Manager
May 3, 2024

Analytics Manager
May 2, 2024

Analytics Manager
May 2, 2024

Analytics Manager Pp
May 1, 2024

Analytics Manager Pp
April 30, 2024

Analytics Manager
April 16, 2024