Michael Page is hiring for an FRESHER entry level Data Analyst role in India

Position:

• Data Analyst

• Function aligned with Information Technology and IT Development

• Role centered on analytics within Financial Services specialization

• Permanent position designed for professionals passionate about extracting insight from structured and unstructured datasets

• Opportunity to work closely with stakeholders to convert business needs into measurable analytical outcomes

Company:

• Michael Page, representing a large organization operating across Technology and Telecoms along with FinTech domains

• Recruitment managed through Michael Page International Recruitment Pvt Ltd

• Organization recognized for integrating analytics into strategic decision making

• Strong emphasis on innovation, performance measurement, and business intelligence capabilities

Location:

• Gautam Buddha Nagar, India

• Office presence in a well established business hub with strong connectivity to major NCR regions

• Access to professional ecosystem including Technology and Financial Services enterprises

Job type:

• Permanent employment

• Long term role within the Information Technology function

• Stable position with growth and career progression opportunities

Job mode:

• Onsite role based in Gautam Buddha Nagar

• Flexible work environment designed to support productivity and collaboration

• Inclusive workplace culture encouraging diversity and adaptability

Job requisition id:

• JN 012026 6927991

• Reference number used for internal and external tracking

• Quotation reference for applicants during communication

Years of experience:

• Experience in Technology and Telecoms or FinTech industries preferred

• Exposure to analytics, reporting, and dashboard creation environments

• No specific years explicitly stated, industry familiarity considered advantageous

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Company description:

• The hiring organization operates within Technology and Telecoms combined with FinTech verticals, positioning itself at the intersection of digital infrastructure and financial innovation

• Known for leveraging advanced analytics to enhance operational efficiency, customer engagement, and revenue growth

• Encourages a culture of experimentation, data backed decision making, and performance optimization

• Invests in analytical tools and modern reporting systems to empower teams with accurate and timely information

• Maintains a reputation for forward thinking leadership that values measurable outcomes and continuous improvement

• Promotes an inclusive environment where diversity of thought and background strengthens problem solving capabilities

• Focuses on using predictive and descriptive analytics to stay competitive in rapidly evolving digital markets

• Encourages employees to remain updated with technological advancements and analytical best practices

• Offers structured support systems, collaborative frameworks, and knowledge sharing platforms to ensure professional development

• Recognized for aligning analytics initiatives with broader strategic objectives to drive sustained growth

• Operates with a commitment to transparency, accountability, and high standards of governance

• Ensures employees have access to tools, platforms, and cross functional exposure that accelerate skill enhancement

• Maintains comprehensive policies regarding employee wellbeing, leave structures, and workplace fairness

• Strives to build sustainable and scalable analytics frameworks across departments

• Values ethical data usage and maintains high standards of data integrity and compliance

• Encourages innovation across reporting, visualization, and predictive modeling

• Supports digital transformation initiatives within the Financial Services ecosystem

• Positions analytics as a central pillar in driving customer centric strategies

• Offers competitive compensation aligned with industry benchmarks

• Actively supports inclusive hiring practices and equal opportunity employment

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Profile overview:

• The Data Analyst will be responsible for examining large volumes of data to uncover meaningful patterns and business insights

• Core responsibility includes transforming raw datasets into structured information usable by leadership and operational teams

• Candidate will design and maintain dashboards using Apache Superset and other visualization platforms

• Role demands collaboration with cross functional teams to interpret data requirements and translate them into analytical solutions

• Expected to ensure high levels of accuracy, validation, and data cleansing before analysis

• Will apply statistical methods and analytical reasoning to forecast trends and identify performance gaps

• Supports strategic decisions by presenting data backed recommendations

• Monitors effectiveness of analytics initiatives and suggests refinements where needed

• Works closely with business stakeholders to understand objectives and align reporting metrics

• Participates in evaluation of new tools, methodologies, and frameworks in analytics

• Develops standardized reporting templates for recurring analysis

• Communicates findings clearly through presentations, reports, and dashboards

• Plays a role in strengthening internal data governance practices

• Identifies process improvement opportunities using quantitative evidence

• Engages with engineering and product teams to align metrics definitions

• Ensures dashboards remain updated, reliable, and performance optimized

• Contributes to predictive analysis efforts where applicable

• Maintains documentation for data sources, calculations, and reporting logic

• Encourages best practices in analytics and knowledge sharing across teams

• Acts as a bridge between technical data teams and business decision makers

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Qualifications:

• Bachelor degree in statistics, mathematics, computer science, or related quantitative discipline

• Strong proficiency in data analysis tools and software platforms

• Hands on experience with data visualization solutions including Apache Superset or similar tools

• Capability to manipulate and analyze large structured datasets

• Understanding of statistical techniques and predictive analysis approaches

• Knowledge of data cleansing, validation, and transformation methodologies

• Familiarity with FinTech, Technology, or Telecom business processes

• Strong analytical reasoning and structured problem solving ability

• Experience interpreting complex datasets and converting them into actionable insights

• Comfort working with cross functional teams including engineering, product, and operations

• Excellent communication skills for presenting analytical findings

• High attention to detail ensuring accuracy in reporting outputs

• Ability to manage multiple dashboards and reporting timelines

• Knowledge of database querying and structured data environments

• Understanding of performance monitoring metrics and KPI frameworks

• Exposure to reporting automation and optimization practices

• Ability to prioritize tasks in a dynamic work environment

• Curiosity to stay updated with analytics trends and technological advancements

• Commitment to maintaining data integrity and compliance standards

• Strong ownership mindset with accountability for deliverables

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Additional info:

• Competitive annual compensation ranging between INR 3,150,000 and INR 3,850,000

• Opportunity to work within a prominent Technology and Telecom organization serving FinTech clients

• Structured benefits package including leave policies and employee welfare programs

• Inclusive workplace committed to celebrating diversity and equal opportunity

• Supportive culture that values collaboration and innovation

• Clear communication channels for feedback and professional development

• Exposure to high impact analytics projects influencing business outcomes

• Chance to work with experienced professionals across departments

• Access to advanced analytics tools and evolving technology stack

• Encouragement to pursue skill enhancement and certifications

• Transparent recruitment and onboarding processes

• Commitment to providing reasonable adjustments during hiring when required

• Emphasis on ethical practices and governance standards

• Opportunity to contribute to long term digital transformation initiatives

• Structured career growth path within Information Technology function

• Performance driven environment with measurable outcomes

• Recognition of analytical contributions in strategic decision making

• Strong alignment between analytics initiatives and business goals

• Encouragement for applicants from diverse backgrounds

• Clear job reference for streamlined application tracking

Please click here to apply.