Technical Business Analyst

1 week ago

Pune, Maharashtra, India IT Company Full time

About Intellore :

Intellore is a young company of experienced professionals. The company provides co-creation technology services for our customers and their ecosystem partners enabling each stage of their digital transformation journey for them to innovate and create new value for all the stakeholders. These services, where the IP of the offering belongs to our customer, range from domain-specific intelligent sensor / edge devices to cloud platforms right up to differentiated / insightful enterprise applications. These services for today's fast-evolving digital and connected enterprises are based on the solid foundation of vast proven experience and record of accomplishment in "embedded systems services" and "application software development services" collectively brought in by our founder-directors and the founding-staff.

Job Location :

Intellore Systems Pvt Ltd, Krishna Shanti Residency, S. No. 346 & 347, Off No 7 & 8, Bavdhan Budruk, Taluka Mulshi, Pune , Maharashtra

Position : Technical Business Analyst

Education : Bachelor's degree in computer science, Data Analytics, or equivalent field.

Experience : Years

Job Summary :

The Technical Business Analyst / Data Analyst plays a critical role by supporting operations and conducting data analytics projects. The main objective is to extract valuable insights from large datasets and provide information to management for decision-making purposes. Should have business acumen to interpret financial data, recognize market trends, and comprehend the broader economic landscape. Individual should have strong business acumen possessing the skills to link organizational strategies with practical actions, enabling them to make informed decisions that contribute to the overall success of the business. This holistic understanding will empower professionals to navigate complex challenges, identify opportunities for improvement, and drive sustainable growth.

Skills :
  • Advanced working knowledge of data visualization software (Tableau, Python, Salesforce).
  • Proficiency in MS Windows navigation, Word, PowerPoint, and Outlook.
  • Extensive proficiency in Excel applications, including manipulating large datasets and developing complex formulas.
  • Strong analytical skills with the ability to collect, analyse, and structure large datasets.
  • Knowledge of implementing data standards and automation tools.
  • Excellent verbal and written communication skills, with the ability to convey complex information in an easy-to-understand format.
  • Strong business acumen in understanding key performance indicators (KPIs) and their relevance to business decision-making.
  • Ability to translate complex business requirements into technical solutions.
  • Proficiency in assessing business processes and identifying areas for improvement in efficiency and productivity.
Experience :
  • Experience in collecting, analysing, and structuring large datasets from various sources.
  • Experience in developing, implementing, and maintaining analytics systems.
  • Familiarity with evaluating and improving manual processes and systems for efficiency.
  • Experience working directly with cross-functional partners and users to gather requirements.
  • Proven excellence in organizational, prioritization, and presentation skills.
  • Experience in working directly with cross-functional partners to gather business requirements.
  • Demonstrated success in using data analysis to provide actionable insights for :
    • Establish KPIs that align with business decisions, goals and objectives .
    • Collect, analyze, and structure large datasets for decision-making and solution development.
    • Develop and maintain analytics systems, simplifying complicated problems into simple frameworks.
    • Build and maintain databases by acquiring data from primary and secondary sources.
    • Create and maintain rich, compelling visualizations and interactive dashboards.
    • Identify trends and opportunities for growth through analysis of complex datasets.
    • Work directly with cross-functional partners and users to gather requirements and provide status updates.
    • Evaluate current manual processes and systems for efficiency, problems, and inaccuracies.
    • Implement data standards and automation tools, ensuring data integrity.
    • Identify opportunities to use advanced analytics to develop new strategies and improve business performance.
    QMS Responsibilities :
    • To participate meaningfully in Internal and third-party Audits of Implemented Management System Standards.
    • To contribute to the organization Knowledge inventory documents.
    • To participate in finalising management review inputs to be given to QMS coordinator/MR
    • To control, correct, find out root cause and take corrective actions on non-Conformity and its consequence and customer complaints.
    • To be aware of Quality Policy, Quality Objectives, and implications of not conforming with QMS requirements.
    )

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