Accounts / MIS Executive

United Telelinks

Bengaluru

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

United Telelinks seeks a qualified Mis Executive in Bengaluru, India, responsible for data management and analytics. This role involves project planning, problem-solving, and collaboration with teams to align data processes with organizational goals.

The ideal candidate should have a Bachelor's degree and 5-7 years of experience in IT/Data Management, along with strong technical and leadership skills. A full-time, day-shift position is offered, working Monday to Saturday.

Qualifications

  • Minimum 5-7 years of experience in data analysis, MIS reporting, or business intelligence roles.
  • Certifications in data analytics or business intelligence are a plus.
  • Understanding of data privacy regulations and governance principles.

Responsibilities

  • Plan, schedule, and execute data-related projects.
  • Analyze data-related challenges and improve processes.
  • Collaborate with various departments for data requirements.
  • Provide leadership and guidance to data analysts.
  • Improve data management processes and implement new technologies.

Skills

SQL
Data visualization (Tableau, Power BI)
Advanced Excel
Database management
ERP software experience
Strong analytical skills
Problem-solving abilities
Excellent communication skills

Education

Bachelor's degree in Computer Science, Information Management, Statistics or related field

Tools

Tableau
Power BI
ERP software

Job description

Responsibilities
  • The Mis Executive is responsible for various key functions within the organization:
  • Project Planning and Execution: The Mis Executive is involved in planning, scheduling, and executing data-related projects to ensure timely delivery and alignment with organizational objectives.
  • Problem-Solving and Decision-Making: This role involves identifying data-related challenges, analyzing issues, and making informed decisions to address data discrepancies and improve data management processes.
  • Collaboration with Cross-Functional Teams: The Mis Executive collaborates with different departments to gather data requirements, share insights, and align data management strategies with business goals.
  • Leadership and Mentorship: The Mis Executive may provide leadership to a team of data analysts, guiding them on best practices, data handling techniques, and ensuring data quality standards are met.
  • Process Improvement and Innovation: Continuous improvement of data management processes, implementing innovative solutions, and leveraging new technologies to enhance data analytics capabilities.
  • Technical or Customer-Facing Responsibilities: Engaging in technical tasks such as data extraction, transformation, and loading (ETL), as well as interacting with clients or stakeholders to understand their data needs and provide relevant insights.
Required Skills and Qualifications
  • The ideal candidate for the Mis Executive position should possess the following skills, knowledge, and experience:
  • Technical Skills: Proficiency in SQL, data visualization tools (e.g., Tableau, Power BI), advanced Excel, database management systems, and experience with ERP software.
  • Educational Requirements: Bachelors degree in Computer Science, Information Management, Statistics, or a related field. Certifications in data analytics or business intelligence are a plus.
  • Minimum of 5-7 years of experience in data analysis, MIS reporting, or business intelligence roles within the IT/Data Management sector.
  • Soft Skills: Strong analytical skills, problem-solving abilities, excellent communication skills, adaptability to changing business needs, and leadership qualities.
  • Industry Knowledge: Understanding of data privacy regulations, data governance principles, knowledge of industry-specific data management practices, and familiarity with emerging technologies in data analytics.
Preferred Qualifications
  • Experience in implementing data management solutions in Telecom industries or organizations.
  • Holding certifications in data science, project management, or leadership training.
  • Familiarity with AI tools, automation platforms, cloud technologies, or industry-specific data management systems.
  • Demonstrated experience in scaling data operations, expanding into global markets, or leading process improvement initiatives.
  • Active participation in industry conferences, speaker panels, or contributing to published works related to data management.
  • Proficiency in additional foreign languages to support global collaboration efforts.
Job Details
  • Day shift job
  • Monday to Saturday (10am to 8pm)
  • Sunday holiday
  • Job Type : Full-time
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