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Verified Job IT / Software / Data Analyst

Business Analyst

Bengaluru, Karnataka
IT / Software / Data Analyst
#14922
Remote / WFH
Acufore India

Job Description

Ref. No : AF/BAnalyst/2024/JD/01

Detailed Job Description

Job title : Business Analyst(Reporting & Analytics)

Reporting to : Team Lead

Salary : Industry par CTC

Hours : Full time

Location : Hebbal office, Bangalore.

Job Brief

We are seeking an experienced Business Analyst with a strong background in reporting and analytics
to join our team. The ideal candidate will leverage datadriven insights to support business
decisions, optimize operations, and drive strategic initiatives. They should be skilled in gathering
and interpreting data, generating insightful reports, and collaborating with crossfunctional teams
to identify and implement improvements.

Key Responsibilities:

Data Collection & Analysis: Collect, organize, and analyze large data sets from multiple sources
to identify patterns, trends, and insights that support decisionmaking.

Reporting & Visualization: Develop and maintain dashboards, scorecards, and reports in tools
such as Power BI, Tableau, Looker, Qlik or similar platforms. Present findings and insights in a

clear and actionable format.

Business Requirements Gathering: Collaborate with stakeholders to gather business
requirements for analytics and reporting needs. Translate business questions into data requests

and reporting solutions.

Performance Measurement: Monitor and evaluate key performance indicators (KPIs), providing
recommendations to improve business performance.

Data Quality Assurance: Ensure data integrity by conducting quality checks, troubleshooting
data discrepancies, and implementing solutions to enhance data accuracy.

Process Improvement: Analyze existing business processes, identify opportunities for
optimization, and work with relevant teams to implement solutions.

Documentation & Training: Document processes, data models, and reporting methods.
Conduct training sessions to educate team members and stakeholders on using data insights

effectively.

CrossFunctional Collaboration: Act as a liaison between business units, IT, and data teams to
facilitate seamless communication and data access.



Communication & Collaboration
o Work with team members across departments to address data needs and resolve data

related issues.

o Communicate findings and insights effectively to nontechnical stakeholders.

o Create robust presentation decks to share insights and recommendations.

Understand Your Audience: Tailor your presentation to the audience's level of
technical knowledge and business needs. Highlight insights and outcomes that

align with their goals, making datadriven recommendations clear and actionable.

Emphasize Key Insights with Data Visualization: Use clear, visually engaging
charts, graphs, and infographics to make complex data easy to understand.

Simplify visual elements to emphasize the most critical insights without

overwhelming the audience.

Tell a Story with a Logical Flow: Structure the presentation to build a narrative
that starts with the business problem, follows with data insights and analysis, and

concludes with actionable recommendations. This approach ensures that

stakeholders can follow the rationale behind each finding and see the value in

proposed solutions.

Academic & trades qualifications

Bachelor’s degree in Business, Economics, Data Science, Information Systems, or a related field.


Work experience & skills

Experience: 48 years in business analysis, reporting, and analytics.
Technical Skills:
o Proficiency in data analysis and visualization tools (e.g., Power BI, Tableau, Excel,

Looker, Qlik).

o Proficiency in telling compelling story through data & visualizations.

o Working knowledge of SQL & Alteryx for data extraction and manipulation.

o Familiarity with CRM or ERP systems is a plus.

Analytical Skills: Strong analytical and problemsolving abilities, with an understanding of
statistical analysis techniques.

Communication: Excellent written and verbal communication skills to convey complex data
insights to nontechnical audiences.

Attention to Detail: High level of accuracy and attention to detail in data analysis and reporting.
Project Management: Ability to manage multiple projects and deliver within timelines.



Preferred Qualifications:

Experience with predictive analytics and machine learning basics.
Familiarity with cloudbased data solutions (e.g., Azure, AWS).
Knowledge of industryspecific KPIs and business metrics.
Why Join Us?

Competitive salary and benefits package.
Inclusive work environment that values diversity and innovation.
Opportunity to work in a collaborative and innovative environment.
The chance to work on impactful projects with crossfunctional teams that drive business
success.

Flexible working hours.
Exposure to diverse projects and an international client base.
Access to continuous learning and development resources.
Access to training resources and opportunities for professional development and career
advancement.
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