Data/BI Architect, NYC Apparel Brand

New York
US$90000 - US$140000 per year + Bonus

THE COMPANY

A comfort focused apparel brand with a mission to help those in need. The company launched in 2013, after the founders learned that socks are the #1 most requested clothing item at homeless shelters. From there, they set out to solve that problem, donating a pair of socks for every pair they sell. How do you donate a lot of socks? You sell a lot. And how do you sell a lot? You make the most comfortable socks in the history of feet. They have 15 million pairs sold and donated so far and are continuing to innovate with new socks and apparel while creating a positive impact on the local community.

THE ROLE

They desire a versatile and highly motivated individual to join their Data & Analytics team as a Data / Business Intelligence Architect reporting directly to our Director of Data & Analytics. The ideal candidate has 5+ years of experience designing, developing and maintaining business intelligence and data solutions for an organization. You will have the opportunity to contribute to and scale the foundational data infrastructure that enables business owners and analysts to draw insights on current performance and make recommendations for improvements. You will work closely with stakeholders to understand the company's business intelligence and data needs as well as with their technology team and third party ETL vendors to implement and scale solutions.

Primary Responsibilities:

  • Partner with the Analytics team and business owners to design and maintain a scalable company-wide data model and user-friendly business intelligence interface.
  • Work closely with the technology team and third party ETL vendors to implement automated process solutions and data infrastructure improvements to meet business needs.
  • Model and transform data to provide efficient and fast access to data.
  • Define BI roadmap, guidelines and processes for version control, code review, testing.
  • Assist in writing, editing, and maintaining our data documentation.
  • Mentor and oversee our data modeling function and BI engineers.
  • Manage education, training and evangelizing BI solutions across the organization.

YOUR SKILLS AND EXPERIENCE

  • Bachelor's degree in a quantitative field.
  • 5+ years of experience in the business intelligence and/or data field.
  • 3 - 5 years of experience in DTC / E-commerce industry and understanding of retail processes and reporting requirements.
  • Data modeling experience in data warehouses (Redshift, BigQuery, Snowflake).
  • Understanding of ETL and data warehousing concepts (star/snowflake schema, etc) and practices.
  • Proven track record of building, maintaining and optimizing BI solutions (Looker, Chartio, Periscope, Tableau).
  • Knowledge of version control (GitHub).
  • Well versed in SQL.

HOW TO APPLY

Please register your interest by sending your CV/resume to Peterson Hyppolite via the Apply link on this page. Or if you know someone better suited for this role, please feel free to share this posting.

Send similar jobs by email
57857
New York
US$90000 - US$140000 per year + Bonus
  1. Permanent
  2. Business Intelligence

Similar Jobs

Salary

US$140000 - US$180000 per year

Location

New York

Description

Lead Data Engineer - Engineering Manager

Salary

US$160000 - US$200000 per year

Location

New York

Description

Lead Data Manager - Political Organization

Salary

US$140000 - US$170000 per year

Location

Manhattan, New York

Description

Senior Data Engineer |Manhattan, New York

Salary

US$90000 - US$120000 per year + Bonus, Healthcare Coverage

Location

New York

Description

Business Intelligence Architect - Infrastructure Optimization - Competitive base salary + Healthcare (no contribution)

Salary

US$140000 - US$170000 per year

Location

New York

Description

Software Engineer - Data Specialization - NYC

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.

A Data Engineer is a Unique Blend of Data Professional

From startup and small business to large enterprises, each type of business requires a unique blend of Data professional. Though in today’s world, much of the Data being gathered, catalogued, and analyzed happens both in the Cloud and on a hard drive, each type of business has a different need, budget, goals, and objectives. But there is one thing each and every business will have in common. At the heart of the Data team will be a Data Engineer. The Three Main Roles of a Data Engineer This is an analytics role in high demand. It is a growing and lucrative field with steps and stages for nearly every level of business and education experience. For example, a Data Scientist interested in stepping into a Data Engineer role might begin as a Generalist. In all, there are three main roles for each level and type of business – Generalist, Pipeline-Centric, and Data-Centric. Let’s take a quick look at each of the roles with an eye toward the type of person who might be the best fit: Generalist – Most often found on a small team, this type of Data Engineer is most likely the only Data-focused person in the company. They may have to do everything from build the system to analyze it, and while it carries its own unique set of skills, it doesn’t require heavy architecture knowledge as smaller companies may not yet be focusing on scale. In a nutshell, this might be a good entry point for a Data Scientist interested in upskilling and reskilling themselves to transition into a Data Engineering role.Pipeline-centric – This focus requires more in-depth knowledge working with more complex Data science needs. This type of role is found more often in mid-sized companies as they grow and incorporate a team of Data professionals to help analyze and offer actionable insight for the business. In a nutshell, this role creates a useful format for analysts to gather, collect, and analyze each bit of Data at each stage of development.Database-centric – This role is found most often in larger companies and deals not only with Data warehouses, but is focused on setting up analytics databases. Though there are some elements of the pipeline, this is more fine-tuned. In a nutshell, this role deals with many analysts across a wide distribution of databases. A Fine Balance Between Technical Skills, Soft Skills, and Business Acumen While it’s important for anyone filing this role to have deep knowledge of database design as well as a variety of programming languages, its equally important to understand company objectives. In other words, once the groundwork is laid and the datasets established, it’ll be important to explain what it is the business executives need to know to make the best decisions for their business.  Knowing how and what to communicate to executives, stakeholders, and your Data team also means understanding how to best retrieve and optimize the information for reporting. Depending on your organization’s size, you may need both a Data Analyst or Scientist and a Data Engineer. Though this is less likely in medium and larger enterprises. On the flip side, in order to understand the business’ needs, you’ll also need to be good at creating reliable pipelines, architecting systems and Data stores, and collaborating with your Data Science team to build the right solutions. Each of these skills are meant to help you understand concepts to build real-world systems no matter the size of your business. One Final Thought… Do you like to build things? Tweak systems? Take things apart and see how they work, then put them back together better and more efficient than before? Then Data Engineering might be for you. Are you a business who knows you’re ready to scale up and hire a Data professional? We have a strong candidate pool and may have just the person you need to fill your role. Are you a candidate looking for a role in big Data and analytics? We specialize in junior and senior roles. Check out our current vacancies or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.

The Harnham 2019 Data & Analytics Salary Guide Has Arrived

We are thrilled to announce the launch of our 2019 Data & Analytics Salary Guide. With over 1,500 respondents across the USA, this year’s guide is our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 72% in the US willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates, on average, expect 10% more than they actually achieve when moving between roles.  We’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the US market is only 23% female, falling to 17% in Data Engineering roles and 16% in the Data Science space.  In addition to our findings, the guide also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copy of the guide here.

Recently Viewed jobs