Technical Support (L2)

Job Title:

Data Entry Executive

Experience:

0–1 Year

Location:

Bangalore (Work from Office)

Employment Type:

Full-Time

About the Role:

We are looking for a detail-oriented and motivated Data Entry Executive to join our team. The ideal candidate should have a strong command of Microsoft Excel and Google Sheets, with the ability to efficiently manage, organize, and process data. This role is perfect for recent graduates or individuals with up to one year of experience who are looking to build a career in data management and digital operations.

Key Responsibilities:

• Accurately enter, update, and maintain data in Excel and Google Sheets.
• Utilize spreadsheet functions such as formulas, filtering, merging, dropdowns, and color filters.
• Apply and troubleshoot formulas like CONCAT, PROPER, LOWER, UPPER, and VLOOKUP.
• Organize and clean data to ensure accuracy and consistency.
• Generate reports and summaries as needed.
• Assist with basic SEO tasks such as keyword entry and metadata updates.
• Support content management on CMS platforms like Webflow and WordPress (preferred).
• Collaborate with team members to ensure timely completion of data-related tasks.
• Perform other administrative and data entry duties as assigned.

Required Skills:

• Strong proficiency in Excel and Google Sheets.
• Hands-on experience with formulas, sorting, filtering, merging, dropdowns, and formatting.
• Familiarity with functions like VLOOKUP, CONCAT, PROPER, LOWER, and UPPER.
• High attention to detail and accuracy.
• Basic understanding of SEO concepts.
• Good communication and organizational skills.
• Ability to work independently and collaboratively in a team environment.

Added Advantages (Preferred, not Mandatory):

• Experience working on CMS platforms like Webflow and WordPress.
• Basic knowledge of design tools such as Canva or Figma.

Qualifications:

• Bachelor's degree in any discipline (preferred).
• 0–1 year of relevant experience in data entry or a similar role.

Why Join Us?

• Be part of a dynamic and supportive team.
• Gain hands-on experience with industry-standard tools and platforms.
• Opportunity for growth and continuous skill development.

• CSSA certification prior to Dec 2019
• Minimum 4 years relevant experience in pega application development
• Strong technical acumen
• Willingness to work from Office, if required, after the pandemic
• Represent Machint if deployed at client location
• Cadets with a shorter notice period OR left with a shorter notice while serving notice are the TOP PRIORITY.

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.