Request A Callback

Request callback 82860054e0a475fa851fdf7792563e9fe0c6581aec2f02821607315a5fbb9da6.svg

Chat With Us

Message icon 379ffada3d0e74d968eb617f6f353d25d1af31ac3328bde8cb9ca1098357eac6.svg

Contact Us

Widget icon 09f048bbbfe8e11c029279fbb872b3966281c5ef5c95a2065779de849e8b181f.svg
Check 360b002a4b62e5945e146845135307f9671a38c8b308903fe5be835918e10f9f.svg Callback Requested
Our Academic Counsellor would reach out to you within the next 24 hours.
Technical support d11d16e019dbb2885dda285f9a01e7e03ebbb8e696e5e874bfe1e7e532117626.png
Talk to our Academic Advisors
Ready to become a Rockstar Developer?
Already a member? LOG IN
Full Name *
Email *
Phone Number *
OTP will be sent to this number for verification
+1 *
+1
Graduation Year *


Already a member? LOG IN
OR
Log in using
Mobile Number *
+1 *
+1

OR
Log in using
Verify mobile
We've sent an OTP to your mobile number
Mobile Number *
edit
OTP *

Verify mobile
We've sent an OTP to your mobile number
Mobile Number *
edit
OTP *

Resend OTP
Our website uses cookies to improve your browsing experience. By continuing to using our site you agree to the use of cookies. Learn more
Assistant Manager :: Data Analyst
Sales

Job Title: Assistant Manager - Data Analytics 

Scaler Academy 

Job Description: 

As a Data Analyst, your primary responsibility is to gather, process, analyze, and interpret data to provide valuable insights and support data-driven decision-making within the organization. You will work closely with various stakeholders, such as business managers, data engineers, and data scientists, to understand business requirements and deliver actionable recommendations. Your role is crucial in transforming raw data into meaningful information that can guide strategic planning and operational improvements. 

Key Responsibilities: 

  1. Data Gathering and Cleaning: Collect data from various sources, including databases, spreadsheets, APIs, and other data repositories. Clean, validate, and preprocess the data to ensure accuracy and consistency. 
  2. Data Analysis: Utilize statistical techniques and data analysis tools to extract relevant information and patterns from datasets. Identify trends, correlations, and anomalies to provide insights into business performance and operations. 
  3. Data Visualization: Create clear and concise data visualizations, such as charts, graphs, and dashboards, to effectively communicate complex findings to non-technical stakeholders. Visualizations should be engaging, easy to understand, and actionable. 
  4. Reporting: Develop regular and ad-hoc reports to support decision-making processes across different departments. Ensure that reports are delivered on time and provide valuable insights to relevant teams. 
  5. Business Intelligence: Work closely with business managers to understand their analytical needs and assist in creating customized reports and data-driven solutions that address specific business challenges. 
  6. Predictive Analytics: Required to build and validate predictive models that can forecast trends, identify opportunities, and predict potential risks for the organization. 7. Data Quality Assurance: Implement data quality checks and measures to ensure data accuracy, integrity, and consistency. Address any data-related issues promptly and maintain data governance standards. 
  7. Process Improvement: Continuously assess and optimize data processes to enhance data collection, analysis, and reporting efficiency. Propose and implement innovative solutions to improve data-related workflows. 
  8. Stay Updated: Keep up-to-date with industry trends, best practices, and emerging technologies in data analysis, data visualization, and business intelligence.

Required Skills and Qualifications: 

  1. Bachelor's degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or a related discipline. 
  2. Strong analytical and problem-solving skills with the ability to handle complex data sets. 3. Proficiency in data manipulation tools such as SQL, Python. 
  3. Experience with data visualization tools like Power BI, Excel. 
  4. Understanding of statistical methods and techniques for data analysis. 6. Excellent communication skills, both verbal and written, with the ability to present findings to diverse audiences. 
  5. Attention to detail and a commitment to data accuracy and quality. 
  6. Ability to work independently and collaboratively in a team-oriented environment. 

As a Data Analyst, you will play a crucial role in empowering data-driven decision-making within the organization and contribute significantly to its overall success. Your work will directly impact various aspects of the business, making this role dynamic and rewarding for individuals with a passion for data analysis and problem-solving.

Job Overview
  • Location: Bengaluru
  • Job Type: Full time
  • Work: Office