Data Engineer

Reputation.com

Hyderabad, IN
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 05/27/2021
  • Website: reputation.com
  • Company Address: 1400A Seaport Blvd., Suite 401, Redwood City, CA, 94063

About Reputation.com

Reputation.com delivers the category-leading Online Reputation Management platform for large, multi-location enterprises. We help companies monitor and improve online ratings and reputation, and optimize the customer experience.

Job Description

Reputation.com is the undisputed leader in reputation experience management and consistently delivers innovative, customer-driven solutions to household brands such as Nissan, Public Storage, US Bank, GM, Ford, and Kaiser Permanente. Our SaaS-based platform and patented Reputation Score helps marketers, operations and customer experience professionals improve their reputation by managing tens of millions of reviews and interactions across hundreds of thousands of customer touchpoints.

We now live in a feedback economy, where the customer's voice is paramount, and every online review could make or break a business. Reputation.com is hyper-focused on unlocking the power of customer feedback to improve business reputation and drive growth. We innovate with a purpose and are obsessed with big data - it's at the core of everything we do.

Our focus on people extends beyond our customers to our employees, who are our most valuable asset. We are a gritty and passionate bunch - best defined by the belief that diversity is a business essential, promises matter, and philanthropy is the foundation for a built to last organization. We cultivate a culture where being a straight shooter is celebrated, and personal hustle is vital to our collective success. There is no prize for second place!

Speaking of employee hustle - the company was recently named to the 2020 Inc. 5000 list, Inc. magazine's annual ranking of America's fastest-growing private companies, for the second year in a row. We were also ranked No. 1 in Enterprise Online Reputation Management in G2’s Summer 2020 report.

Reputation.com has over 250 integration partners and has forged strategic alliances with marquee-name brands, including Google, Facebook, JD Power, Amazon.com, and Web.com. Altogether, these partnerships amplify Reputation.com's credibility in the industry and provide new opportunities for innovation.

"It takes 20 years to build a reputation and five minutes to ruin it. If you think about that, you'll do things differently." Warren Buffett

Why Work at Reputation.com?

  • We are an innovation engine with 31 technology patents, ranked in the top three of all competitors.
  • Our customer-centric focus has led to a nearly 200% revenue growth from 2016 to 2019.
  • The platform is used by three of the top five automotive OEMs and 16,000 auto dealerships, more than 250 healthcare systems, and over 100 leading property management firms.
  • We've raised over $117 million in funding from the same A-list venture capital firms that backed Google, Microsoft, and Intuit.
  • Our executive management team is diverse and committed to building a performance-based culture where excellence is rewarded and careers are developed.
  • Who thrives at Reputation.com? Managers who embody a player-coach mentality. Employees who value teamwork and cross-functional collaboration. People who emphasize perseverance and hustle over quick wins and luck.

Data Engineer

Responsibilities:

· Interact with our bigquery database daily (using SQL) to analyze data and answer questions.

· Build and maintain reports, data visualizations, and monitors (leveraging Mode) which provide insight into user experiences, business performance, and overall quality of data in our system

· Develop and manage processes on top of these reports that provide tangible improvements to overall data quality and other key metrics

· Work with Data Engineers and Data Scientists to develop algorithms and automated procedures on top of processes you have designed

· Partner with product, data science, marketing and operations teams to conduct in-depth quantitative analyses that guide strategic decisions and/or resolve one-time or recurring process issues

· Contribute to our team and company data culture through peer collaboration, training, coaching and more

 

Requirements:

· Ability to work independently to achieve each of the above

· Expertise using SQL to address just about any business question.

· Demonstrated ability to solve problems using data

· BA/BS degree, preferably in Economics, Math, Statistics, or Computer Science

· 2+ years experience working in quantitative or analytical role, preferably in technology or consulting

· Sharp business judgment, strong attention to detail and the ability to see past the noise

· Strong communicator. You are able to explain data and relationships intuitively to technical and non-technical audiences.

· Experience with Python is a plus

· Experience in Statistics, Machine Learning and Predictive Modeling are a plus.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.