HCLTech is looking for a highly talented and self- motivated Data Analyst with experience in Data Analysis, prepare data mapping document, data modeling and preparing Solution Design document etc to join it in advancing the technological world through innovation and creativity.
Job Title: Data Analyst
Job ID: 2419897
Position Type: Full-time
Location: NYC, USA or Cary, NC, USA (Hybrid)
Job Description:
- 10+ years' experience as Data Analyst
- Should be strong in Data analysis, Data mapping, data profiling, data modelling
- Should be good in complex SQL queries and RDBMS databases such as Oracle
- Python scripting experience
- Should have experience in writing Solution design document
- Must have experience in solution design, interacting Product Owners/Operations users and architects
- Financial domain experience is good to have, but not mandatory
· In addition, this position qualifies for benefits like health insurance, paid time off (PTO), 401(K). Exact compensation may vary based on skills, experience, education, and/or to comply with federal or state law.
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
Equality & Opportunity for All
Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law.