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Senior Analytics Manager

New York
US$125000 - US$135000 per annum

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SENIOR ANALYTICS MANAGER
ONLINE PLATFORM
NEW YORK CITY
$125,000 - $135,000

Do you want to join an online platform for a privately owned family business and help them grow their internet presence? Do you consider yourself a digital analytics expert who wants to improve the lives of customers? This could be the next step in your career! This company is looking to add a Senior Analytics Manager to their already growing team to improve its products and services to customers online.

THE ROLE: SENIOR ANALYTICS MANAGER

As the Senior Analytics Manager, you will be transforming the company by improving the customer's online experience. You will be capturing online data and analyzing results to help deliver insights to the Marketing Team so that they can gauge the impact of new products and how they can reach their financial targets. Your responsibilities will include:

  • Lead a team of Analysts and build a team culture focused on accountability and driving outcomes with data
  • Support key business initiatives by generating insights from internal and secondary data sources
  • Own insights and recommendations from your analysis and translate them to executive level audiences to communicate performance drivers and priorities
  • Collaborating with Product and Marketing stakeholders to determine data and reporting requirements for new features
  • Propose, implement, and analyze A/B tests to optimize funnel conversion and program performance

YOUR SKILLS AND EXPERTISE

  • Heavily focused on Digital Product
  • Experience managing a diverse set of stakeholders with a consultative approach of engaging them
  • Experience with AB Testing
  • SQL and Google Analytics

SALARY AND BENEFITS

  • 125,000-135,000 base
  • 401K with company match
  • Ability to work remote

KEYWORDS:

SQL, Google Analytics, Analyst, Digital, Insights, Marketing, Adobe, Insight, A/B Testing

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96521/OJ20000
New York
US$125000 - US$135000 per annum
  1. Permanent
  2. Marketing Analyst

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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Weekly News Digest: 22nd - 26th Feb 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics.  Search Engine Journal: 4 ways call tracking is changing (and why it’s a good thing) Call tracking is no longer about a customer seeing an ad, calling up the company, telling them how much they loved the ad and then deciding to purchase goods. This is a positive thing really because it wasn’t the most effective way for businesses to track how well adverts were doing anyway - who really remembers where they saw a billboard that took their interest, or what time of day an advert popped up on the TV? As call tracking technology becomes more advanced, call analytics have become much more accessible for all. Not only have they been able to transform how businesses of all shape and size advertise and track their success, but also how they market to potential audiences and track their sentiment.  This article from Search Engine Journal looks at the evolution of call tracking and call analytics from its most basic form, how it works now and what the future of this crucial set of analytics will look like in the future.  Read more on this here.  Towards Data Science: Data Science Year Zero Skills or qualifications in Data Science are becoming incredibly sought after by many employers, but the knowledge of how to break into the sector is still a little unclear for potential candidates. In this article by Towards Data Science, they break down the crucial elements of how to successfully enter the industry in four easy steps.  What the author, Bala Vishal, lacked when he started and how you can set off on a better footing.The most important skills and tools to have under your belt.Which skills should you home in on first.How to thrive in the workplace. This incredibly insightful piece should be a ‘must-read’ for any budding Data Scientist looking to break into Data in 2021 and beyond.  Read more here.  KD Nuggets: 10 Statistical Concepts You Should Know for Data Science Interviews This article is perfect for anyone in the Data Science industry. Whether you’re new to the game or looking to take the next step on the career ladder, make sure you brush up on these crucial statistical concepts you should know inside out before entering interview.  A few, in no order, include: Z tests vs T tests An invaluable piece of knowledge that will be used daily if you are involved in any statistical work.Sampling techniques Make sure you’ve got the main five solidified in your knowledge bank - Simple Random, Systematic, Convenience, Cluster, and Stratified sampling.Bayes Theorem/Conditional Probability One of the most popular machine learning algorithms, a must-know in this new era of technology.  Want to know about the other seven? Read more here. Forbes: 48 per cent of Sales Leaders Say Their CRM System Doesn’t Meet Their Needs. The Good News Is That This Is Fixable. This article by Gene Marks explores why teams aren’t happy with their current CRM systems, and how this can be remedied. New research from SugarCRM found: 52 per cent of sales leaders reported that their CRM platform is costing potential revenue opportunities.50 per cent of the companies said they cannot access customer data across marketing, sales and service systems.Nearly one-third complained that their customer data is incomplete, out of date, or inaccurate. While damning statistics, Marks then goes into how this worrying situation can be fixed for good. He says: “Like just about all problems in business, this problem comes down to two factors: time and money. The blunt fact is that most companies are not willing to spend the necessary time or money needed to enable their CRM systems to truly do what they’re designed to do. CRM systems are not just for sales teams. And they're not just for service teams. For a CRM system to be effective, a company must adapt it as its main, collaborative platform.” Read more on this here. We've loved seeing all the news from Data and Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.

Ross Whatling

Ross Whatling

26. February 2021

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Why You Should Always Be Learning In Data Science: Tips From Kevin Tran

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William Reichert

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