Ameriprise India LLP is hiring for an FRESHER entry level Data Analyst role in India

Position:

• Data Analyst

Company:

• Ameriprise India LLP

Location:

• Noida, Uttar Pradesh, India

• Gurugram, Haryana, India

Job type:

• Full time

Job mode:

• Hybrid

Job requisition id:

• R26_0333

Years of experience:

• 1-3 year of experience in data analysis through internships, academic projects, or coursework (this also counts, so if you have done projects and/or coursework - without professional work experience you can apply)

---

Company description

• Ameriprise India LLP operates as part of a global financial services organization with a legacy spanning more than a century. The company focuses on delivering client centric financial guidance and investment solutions designed to help individuals and institutions plan, grow, and safeguard their wealth.

• Headquartered in Minneapolis in the United States, the broader organization has built a strong global presence supported by thousands of professionals across multiple countries. It serves millions of clients including individuals, small businesses, and institutional investors.

• The firm specializes in asset management, financial advice, retirement planning, and insurance solutions. Through its diversified business lines, it manages, administers, and advises on assets exceeding one trillion dollars, reflecting a strong financial foundation and disciplined governance practices.

• The organization fosters a collaborative and inclusive workplace culture where employees are encouraged to contribute ideas, take ownership of projects, and continuously grow in their careers.

• Ethical conduct, client trust, and long term value creation are central to its mission. Employees are supported through structured learning programs, cross functional exposure, and opportunities to engage in community initiatives.

• As an equal opportunity employer, the company values diversity and ensures that hiring and career advancement decisions are based on merit, qualifications, and performance.

---

Profile overview:

• The Data Analyst will join the EDAI Products Analytics team and contribute to strategic data science and analytics initiatives that support business decision making across geographies.

• This role offers an opportunity to work at the intersection of data analytics, machine learning, and emerging technologies including Large Language Models. The analyst will collaborate with stakeholders in India and the United States to translate business challenges into structured analytical problems.

• The position involves participating in the full lifecycle of analytics projects, from understanding requirements and defining scope to building analytical solutions and supporting deployment.

• The candidate will assist in analyzing complex datasets, identifying patterns, and generating insights that drive operational and strategic improvements.

• The analyst will also play a part in reporting, dashboard development, and predictive modeling initiatives currently underway within the team.

• By working closely with business leaders, technology teams, and fellow data professionals, the individual will help ensure seamless execution of ongoing business as usual activities as well as new innovation driven projects.

• This role is ideal for an early career professional who is eager to strengthen analytical capabilities while gaining exposure to financial services and advanced analytics tools.

---

Role and Responsibilities:

Business collaboration and stakeholder engagement

• Partner with business leaders across India and the United States to understand operational challenges, define measurable objectives, and refine the scope of analytics initiatives.

• Participate in discussions to clarify requirements, identify data sources, and align analytical outputs with business priorities.

• Maintain strong working relationships with stakeholders, ensuring consistent communication regarding progress, risks, and deliverables.

• Support the execution of business as usual analytics tasks while contributing to new product and innovation initiatives.

Data collection and preparation

• Assist in gathering structured and semi structured datasets from multiple internal systems and databases.

• Use SQL extensively to extract, query, and transform data stored in relational databases.

• Clean, validate, and preprocess raw data to ensure accuracy, consistency, and readiness for analysis.

• Apply Python libraries such as Pandas and NumPy to manipulate large datasets and perform advanced data transformations.

• Document data definitions, assumptions, and transformation logic to ensure transparency and reproducibility.

Exploratory data analysis

• Conduct exploratory data analysis to uncover trends, correlations, and anomalies within complex datasets.

• Generate descriptive statistics and visual summaries to better understand data distributions and key performance drivers.

• Identify potential data quality issues and recommend corrective measures.

• Support hypothesis testing and preliminary investigations that inform predictive modeling efforts.

Dashboard development and reporting

• Design, develop, and maintain interactive dashboards using tools such as Tableau or Power BI.

• Translate business metrics into clear visualizations that enable leadership teams to track performance and identify opportunities.

• Optimize dashboard performance and usability by incorporating stakeholder feedback.

• Ensure timely updates of recurring reports and maintain data pipelines supporting reporting frameworks.

Machine learning and advanced analytics

• Assist in the development and evaluation of basic machine learning models including regression, classification, and clustering techniques.

• Participate in feature engineering, model validation, and performance measurement activities.

• Support ongoing predictive modeling initiatives aimed at improving business outcomes and operational efficiency.

• Collaborate with senior data scientists to test model assumptions and interpret results for non technical audiences.

Large Language Models and GenAI initiatives

• Contribute to experimentation and evaluation of Large Language Models for data related use cases.

• Support initiatives involving generative AI applications that enhance productivity, reporting, or insight generation.

• Explore potential automation use cases leveraging AI driven text summarization, classification, or data extraction capabilities.

• Assist in assessing model outputs, monitoring performance, and documenting findings.

Cross functional coordination

• Work closely with technology teams to ensure data accessibility and infrastructure support.

• Coordinate with analytics peers to align methodologies and share best practices.

• Present analytical findings and recommendations in a clear and concise manner to business stakeholders.

• Ensure timely delivery of project milestones in alignment with agreed timelines.

---

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.

• Master’s degree in a relevant field is preferred and may provide additional exposure to advanced analytical techniques.

• One to three years of experience in data analysis, which may include internships, academic research, capstone projects, or professional assignments.

• Demonstrated ability to work with structured datasets and apply analytical thinking to solve business problems.

• Exposure to data science concepts through coursework, projects, or professional experience.

• Familiarity with the financial services industry is beneficial, particularly in areas such as markets, investment instruments, or accounting fundamentals.

---

Technical skills:

• Strong command of SQL for data extraction, transformation, and analysis within relational database systems.

• Proficiency in Python programming with hands on experience using libraries such as Pandas and NumPy for data manipulation and analysis.

• Experience building interactive dashboards and reports using Tableau or Power BI.

• Understanding of core machine learning algorithms including regression models, classification techniques, and clustering methods.

• Foundational knowledge of Large Language Models and awareness of their applications in analytics and automation.

• Basic familiarity with cloud platforms such as AWS or Google Cloud is desirable.

• Exposure to version control systems such as Git to manage code repositories and collaborative development.

---

Soft skills:

• Strong analytical mindset with the ability to break down complex problems into manageable components.

• Attention to detail when handling data, ensuring accuracy and reliability in outputs.

• Effective verbal and written communication skills for presenting insights to diverse audiences.

• Collaborative attitude with the ability to work across geographies and functional teams.

• Proactive approach to learning new tools, technologies, and business concepts.

• Ability to manage multiple tasks and adapt to evolving priorities in a fast paced environment.

---

Additional info:

• The role is aligned with the Data job family group and is part of the India Business Unit under the AWMPO AWMP and S President's Office.

• This is a full time position operating in a hybrid work model, allowing a blend of office and remote collaboration.

• Working hours are scheduled from 2:00 pm to 10:30 pm to support coordination with United States based teams.

• The position provides exposure to global stakeholders and opportunities to contribute to high impact financial analytics projects.

• Employees can expect a culture that promotes inclusion, learning, and career progression within a stable and financially strong organization.

• The company emphasizes ethical practices, equal opportunity employment, and professional growth for all team members.

Please click here to apply.