Lead Analyst

New York
US$90000 - US$110000 per year + amazing benefits package + equity!

This vacancy has now expired. Please see similar roles below...

Lead Analyst
Online Marketplace
Greater New York City Area
$90,000- $110,000 + amazing benefits package + equity!

If you love advanced analytics and have a strong business acumen, look no further! At this role, you will be part of a great group of analysts and leading the way on generating advanced insights into how to best help drive the business forward, while generating technically driven analysis using modelling tools like SQL, Python, R, Tableau hands on.

THE COMPANY:

My client is an exciting startup based out of NYC that is determined to penetrate the market and use ground breaking technology to give consumers access to the best product and service possible.

THE ROLE:

The ideal candidate has an interest and passion for data driven analysis, as well as thinking of innovative ways to generate customer acquisition and retention. You will be working cross functionally within the business and will have the opportunity to get exposure to multiple areas of the business. You will be:

  • Creating advanced statistical models to predict, and present information gained from multiple sources in a visualized form using Python/R/Tableau to best understand trends.
  • Working heavily in SQL for querying.
  • Hands on with building out econometric models (market mix modeling, A/B testing, segmentation, customer life time modeling, etc.)
  • Working with a team of analysts as coach and player; hands on with technical applications as well as helping lead your team toward success!
  • You will have great communication skills and business acumen to lead and optimize the business.

YOUR SKILLS AND EXPERIENCE:

  • Degree in numerical subject such as Statistics, Economics, Mathematics, etc.
  • Expert proficiency and in SQL, R and Python as well as expertise with visualization tools like Tableau.
  • Advanced technical and quantitative background with business perspective.
  • Experience with market mix modeling, A/B testing, segmentation, customer life time modeling, etc.
  • Proven ability in generating advanced statistical modeling tools like/but no limited to: regression models, decision trees, polynomial regression, machine learning (supervised and unsupervised), Bayesian statistics, K-Means clustering, time series, survival analysis, etc.
  • Effectively communicating with stakeholders and partners-translating your quantitative data and insights in a way that captivates and leads to action.
  • Startup background is needed.

THE BENEFITS:

  • $90,000- 110,000 Salary + amazing benefits package + equity!
  • Great growth opportunity
  • Food and snacks on site!

HOW TO APPLY:

Please register your interest by sending your CV to Sasha Baez via the Apply link on this page.

KEYWORDS: lead analyst, online marketplace, advanced analytics, business acumen, insights, SQL, Python, R, Tableau, consumers, econometric, market mix modeling, A/B testing, segmentation, customer life time modeling, decision trees, machine learning, supervised, unsupervised, K-Means clustering, polynomial regression, time series, survival analysis, Bayesian statistics, communication, stakeholders, startup

Send similar jobs by email
48115 /SB
New York
US$90000 - US$110000 per year + amazing benefits package + equity!

Similar Jobs

Salary

€35740 - €47653 per annum

Location

Barcelona

Description

¿Quieres trabajar como Analista de datos en el serctor tecnológico? Gran oportunidad en empresa en pleno crecimiento en Barcelona.

Salary

£35000 - £38000 per annum

Location

Peterborough, Cambridgeshire

Description

Are you looking for an experienced pricing analyst who uses SQL and R or Python looking for an opportunity in Peterborough?

Salary

£30000 - £50000 per annum

Location

Peterborough, Cambridgeshire

Description

Use one of the biggest tech databases in the UK and own crucial projects that shape the future product portfolio of this digital innovator.

Salary

US$90000 - US$100000 per year

Location

Boston, Massachusetts

Description

Do you have a background in pricing analytics, and a love for travel and how people choose to travel? If so, I have a great role for you!

Salary

£55000 - £65000 per annum

Location

South West London, London

Description

A great combination of finance, business, and commercial insights this is the perfect role for someone who enjoys a challenge.

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.

HOW BRANDS USE DATA TO CREATE SUCCESSFUL CAMPAIGNS

Make no mistake: making minor adjustments to an ad or campaign that’s meant to appeal to the masses just won’t cut it. Customers crave creativity. They want to be understood. Which is why people respond best to brands that do their homework, doing their research into what appeals to different groups. How should businesses appeal to their chosen segments, then, considering how diverse people are? Data, of course. Why Data? For one thing, it drives results and creates improved outcomes. Data also helps to prove the value of marketing, providing a bargaining chip for future budget discussions. And, most rewarding of all, brands get valuable insights into their target market. Which, in turn, leads to more well-targeted, profitable campaigns.  And if you think Data doesn’t belong in the world of creative campaigns, think again. As OpenJaw Technologies Chief Marketing Officer Colin Lewis argues: “Creativity is not just compatible with being Data-driven – Data can drive better creative.” Psychological profiling Strategic communications consultancy, Verbalisation, researches and analyses language to form valuable insights. Using its Rapid Audience Insights Diagnostic system, the company’s team of psychologists and researchers work out how an audience thinks. They also learn the actual words an audience uses, which they then use as the basis of a marketing strategy.  Based on their unique research and insights, Verbalisation has created several successful campaigns for high-profile brands. These include the #NotAnotherBrother campaign for counter-terrorism organisation Quilliam, which looked at the motivations of jihadists.  The campaign is now used by the UN and schools across the UK, as well as the US Department of Defense. It is the most viewed counter-extremism campaign of all time, with more than half a billion global media impressions.  Location, location, location Out-of-home (OOH) advertising. Yes, it goes way back, but it’s actually the only traditional advertising channel posting rapid growth. In fact, thanks to mobile-location Data, brands can target audiences quicker and with a greater chance of success than ever before.  Great news for JCDecaux (JCD), a leading OOH company with ads reaching 410 million people in over 4,000 cities. JCD now works with location Data to define and segment audiences. Doing so helps it decide where to place media, improve campaigns and measure resulting store footfall and purchases.  Knowledge, so they say, is power. Particularly when that involves knowing the whereabouts of the most coveted customers. Newly teamed up with identity resolution company, Neustar, JCD’s insights look stronger than ever. JCD can now understand which of its locations rank higher for any brand’s most desired audiences. All thanks to location Data and real-time behaviour analysis.  Personalised employee training Data doesn’t just boost the results of B2C brands; it can also be a vital shot in the arm for internal security training campaigns. Training provider, CybeReady, for instance, uses a Data science-driven approach to deliver cyber awareness training with a difference: its anti-phishing platform helps security teams quickly roll out and tailor campaigns to individual employees. In big companies, getting employees up to speed is especially challenging. With many locations, languages and time zones to contend with, Information Security teams have their work cut out.  CybeReady eliminates these challenges by delivering 12 personalised, 60-second simulations to each employee. In their first language, every year. What’s more, the training provider uses machine learning to analyse performance on a daily basis. This enables it to provide the most appropriate simulations to each individual. The result? IT teams save 160 hours each month and employee resilience increases five-fold. There’s no limit to what Data can do. If you’re a fan, we may have a role for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

The Evolution Of The Data Engineer

Every Data Science department worth its salt has at least one engineer on the team. Considered the “master builders,” Data Engineers design, implement and manage Data infrastructure. They lay down digital foundations and monitor performance. At least, that’s what they used to do.  Over the last few years, the role has shifted. Data Engineers have gone from mainly designing and building infrastructure, to a much more supportive and collaborative function.  Today, a key part of the engineer role is to help their Data Analyst and Data Scientist colleagues process and analyse data. In doing so, they are contributing to improved team productivity and, ultimately, the company’s bottom line. THE IMPACT OF THE CLOUD In the past, a Data Engineer would often move data to and from databases. They’d load it in a Data Warehouse, and create Data structures. Engineers would also be on hand to optimise Data while businesses upgraded or installed new servers.  And then along came the Cloud.  The rapid dominance of cloud computing meant that optimisation was no longer needed. And as the cloud made it easy for companies to scale up and down, there was less need for someone to manage the data infrastructure.   The collective adoption of the cloud has had a big impact on the function of Data Engineers. Because, provided a company has the funds, there is no longer the same demand for physical storage. Freed from endless scaling requests, engineers have more time to program and develop. They also spend more time curating data for better analytics.  AUTOMATING THE BORING BITS  Less than a decade ago, if start-ups wanted to run a sophisticated analytics program, they’d automatically hire a couple of Data Engineers. Without them, Data Analysts and Data Scientists wouldn’t have any Data. The engineers would extract it from operational systems, before giving analysts and business users access. They might also do some work to make the Data simpler to interpret.  In 2019, none of this extraction and transformation work is necessary. Companies can now buy off-the-shelf technology that does exactly what a Data Engineer used to do. As Tristan Handy, Founder and President of Fishtown Analytics, puts it: “Software is increasingly automating the boring parts of Data Engineering.”  STILL SOUGHT-AFTER  With automation hot on the Data Engineer’s tail, it can be tempting to ask whether they are still needed at all.  The answer is: yes, absolutely. When recruiting engineers, Data Strategist Michael Kaminsky says he looks for people “who are excited to partner with analysts and Data Scientists.” He wants a Data Engineer who knows when to pipe up with, “What you’re doing seems really inefficient, and I want to build something better.” Despite the rise in off-the-shelf solutions, engineers still play a key role in the Data Science team. The difference is simply that their priorities and tasks have shifted.  Today, innovation is the watchword. The best engineers are hugely collaborative, helping their teams go further, faster. It’s an exciting time to be a Data Engineer. If you’re interested in this field, we may have a job for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

Recently Viewed jobs