Senior Data Analyst - People Analytics


New York City, NY, US
  • Job Type: Full-Time
  • Function: HR
  • Post Date: 01/11/2021
  • Website:
  • Company Address: 29 W. 35th St. Floor 7, New York, NY 10001, US

About Sprinklr

Sprinklr is a provider of enterprise software for customer experience management. We help brands turn public conversations on modern channels into valuable insights to improve marketing, advertising, customer service, product development and more.

Job Description

As Sprinklr continues to grow, one of our toughest challenges relates to talent management and workforce planning. As a Senior Data Analyst within the HR function (known as Culture & Talent at Sprinklr) you will be responsible for taking people analytics to the next level, by incorporating predictive analytics, AI and machine learning to our analytical reporting capabilities. You will report to the Chief of Staff and work with a highly skilled small team of analysts who will partner with C&T Business Partners to identify, analyze, and operationalize outcomes that provide value to both the business and its people. We have a strong culture of data-driven decision making across the whole company; with that as Sprinklr grows, this team will form the analytics function as a center of expertise and help us understand how our culture and processes impact people's performance and happiness and what we can do to keep improving it. This is an opportunity to bring industry leading techniques to Sprinklr and help set the agenda for the year ahead.

In order to be successful in the People Analytics team, the Data Analyst will have demonstrable experience in research and analyses across a broad range of people-related topics such as talent acquisition, performance, learning and development, diversity, compensation, and retention. They will also have experience working closely with a number of internal stakeholders, including, Finance, Sales Operations, the Executive/Senior Leadership team, People Leaders across business and the wider C&T community. Relationship skills are essential as the Analyst navigates these teams to explain findings and easily translate recommendations into the language of the business.

Position Responsibilities:

    Produce a range of accurate and timely people MI, reports and insight across the employee life cycle from multiple internal and external data sources
    Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods
    Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis and ongoing deliverables
    Understand what metrics and reporting market leading tech companies are providing, and ensure these are embedded within the wider Analytics plan of work
    Use predictive analytics to provide people trends and insights to the rest of the organization
    Manage people analytics governance, ensuring all projects are prioritized by business value and aligned with other analytics projects in the organization
    Ability to pull disparate datapoints and research together to tell compelling stories and influence leaders
    Provide strategic frameworks for statistical data modeling of critical workforce planning measures such as attrition, retention, engagement, performance, L&D and diversity reporting


    BA/BS in a field that emphasizes analyzing, displaying, or reporting on data (e.g., computer science, math, engineering, economics, statistics)
    Understanding of data visualization principles and fundamentals of probability and statistics
    Experience with tools such as Domo, PowerBI, SQL, Python, R, SPSS, ADP, Salesforce, Excel and any other related programs for executing the above responsibilities
    Strong Project management skills
    5+ years of experience focused on using data to uncover insights that drive action in a HR function
    Experience with data management and having an understanding of data structures as well as data ingestion, blending, transformation and visualization techniques.
    Practical experience with algorithms for classification, regression, clustering, and anomaly detection


    Statistical Modelling & Machine Learning: Regression, Classification, Clustering, Survival Analysis, Time Series Analysis, ANOVA, Predictive & Prescriptive Analytics, Parametric and Non-Parametric Models, Supervised and Unsupervised ML, NLP, Text Analytics, Dynamic/Causal Model, Data/Text Mining, Adaptive Decision Algorithms, Search Algorithms, Neural Networks
    Communication skills and an ability to partner effectively across the organization
    Able to work with a high degree of complexity and at times, uncertainty, since you will be working with multiple stakeholders, some of whom will have limited analytics exposure and understanding
    Commercially minded and can put numbers into business perspective
    Highest standards of accuracy and precision; highly organized
    Articulate with excellent verbal and written communication skills
    Ability to think creatively and problem solve; highly-driven and self-motivated
    Demonstrated ability to roll-up sleeves and work with team members in a hands-on management capacity
    Ability to work under tight deadlines and prioritize work to deliver projects on time.

Why You'll Love Sprinklr: We offer a flexible work environment, unlimited vacation, and generous pay and benefits packages. While we have some amazing perks, at the end of the day, Sprinklrites are here for the opportunity to grow, learn, and affect the industry with incredible ingenuity. #Sprinklrlife

We focus on our mission: We believe social technology is the future of customer-brand relations across all departments, and we seek to make each of those experiences excellent at every touchpoint. This is how we all make the world more social together.

We invest in our people - Sprinklrites passionately, genuinely care about seeing one another succeed in making an impact on the industry. We pride ourselves on having an honest, open environment and a supportive culture where we can take risks together.

We believe in our product - Sprinklr is the most complete enterprise social technology in the world, and we're not just saying that Forrester Wave said it for us! As such, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.

Related Jobs

Product Engineer, Front End

Sprinklr - Gurgaon, IN

Senior Success Manager

Sprinklr - Tokyo, JP

Senior Data Analyst - People Analytics

Sprinklr - New York City, NY, US

Account Executive

Sprinklr - London, GB

Operations Manager, Customer Success

Sprinklr - New York City, NY, US
Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.