Job Description

Dear Candidates, Are you passionate about data-driven decision-making, statistical modeling, and business analytics ? We are looking for a Data Science Analyst to join our team and help transform data into valuable business insights. You will work with cutting-edge tools and technologies , collaborating with stakeholders to solve complex business problems using data . Kindly find the below details for your reference. Key Responsibilities: Perform regression analysis (linear regression, statistical inference, hypothesis testing, p-value calculation) . Work with R Programming (tidyverse, rstan, glm, forecast, dplyr, data.table) and SQL for data manipulation. Design and develop data visualization dashboards using Power BI, Tableau, Looker, or Excel . Prepare, clean, and transform data for analysis, modeling, and reporting . Provide insights on marketing data, sales trends, media spend, pricing, and ROI measurement . Apply machine learning techniques (Bayesian methods, time-series analysis, classification, clustering). Collaborate with cross-functional teams to translate business needs into data-driven solutions . Work with cloud platforms like AWS, GCP, or Azure to manage large-scale datasets. What Were Looking For: 2-7 years of experience in data science, business analytics, or marketing analytics . Strong knowledge of R Programming, SQL, and Excel (Pivot Tables, VLOOKUP, SUMIFS) . Experience with statistical modeling, regression analysis, and data wrangling . Hands-on experience in data visualization tools like Power BI, Tableau, or Looker . Familiarity with machine learning algorithms and predictive modeling . Strong analytical skills with the ability to interpret data and provide actionable insights . Excellent communication skills and an ownership mindset . Why Join Us? Be part of a collaborative and innovative data science team . Work on real-world business challenges using cutting-edge tools. Enjoy competitive pay, benefits, and career growth opportunities . Gain cross-functional exposure and work on high-impact projects . Thrive in a fast-paced, data-driven, and growth-oriented environment . Ready to Elevate Your Career? Apply Now! Join us and be part of a company that values data, innovation, and problem-solving . Apply today or reach out for more details! With you updated CV and following necessary details. 1. Current Organization 2. Total Experience 3. Relevant Experience 4. Notice Period 5. Lead time to Join 6. Current Location 7. Preferred Location 8. CCTC 9. ECTC 10. Availability for technical discussion Call / Whats App - +91 9900909245 Mail - kamleshk.sharma@altezzasys.com