216 Report Developer jobs in Hyderabad

Who we are looking for:

Client Report Developer / Automation Configurator who will focus on development and delivery of client reports and automation solutions using various tools and platforms, in State Street Markets. The candidate is someone with a proven record of technology project execution and ability to get hands on when it comes to analysis, development and execution, someone with creativity and self-motivation to deliver on mission critical projects. The ideal candidate will have experience in macro / automation / low code/no code development / programing domain.

Why this role is important to us:

The team you will be joining is a part of State Street Markets. When owners and managers of institutional assets need research, trading, securities lending and innovative portfolio strategies, they turn to State Street Markets business unit. As our investment research and trading arm, number one goal is to enhance and preserve our clients’ portfolio values by applying technology, optimizing trading, and linking asset classes and markets across the world.

Join us if making your mark in capital markets industry from day one is a challenge you are up for.

What you will be responsible for:

As Client Report Developer / Automation Configurator- Assistant Vice President you will:

What we value:

These skills will help you succeed in this role:

Education & Preferred Qualifications:

Shift Time- From Afternoon 12:00PM / 1:00PM to Night 9:00 PM/10:00PM Indian Standard Time

About State Street

What we do . State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary in locations, but you may expect generous medical care, insurance and savings plans among other perks. You’ll have access to flexible Work Program to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Discover more at StateStreet.com/careers

Position Overview

Professional Experience:

Education:

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop data visualizations to communicate findings effectively to stakeholders.
• Support senior analysts in building statistical models and machine learning algorithms.
• Conduct research on data-related topics and emerging analytical techniques.
• Collaborate with cross-functional teams to understand data needs and deliver insights.
• Document methodologies, processes, and findings clearly and concisely.
• Participate in team meetings and contribute to project discussions.
• Learn and apply new data analysis tools and technologies.
• Assist in the development of reports and dashboards.
• Ensure data accuracy and integrity throughout the analysis process.
• Contribute to a culture of data-driven decision-making within the organization.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and analytical methods.
• Proficiency in data analysis tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) and R.
• Familiarity with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Effective written and verbal communication skills.
• Ability to work independently and collaboratively in a remote team setting.
• Eagerness to learn and adapt to new technologies.
• A proactive approach to tasks and a keen interest in data science.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and quantitative skills.
• Proficiency in SQL and at least one programming language (Python or R).
• Familiarity with data manipulation, analysis, and visualization techniques.
• Excellent problem-solving and critical-thinking abilities.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a remote environment.
• Eagerness to learn and grow in the field of data science and analytics.

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Perform data analysis using statistical methods and programming languages like Python or R.
• Develop data visualizations and dashboards to communicate findings effectively.
• Support the development and implementation of machine learning models.
• Collaborate with senior team members to identify trends, patterns, and insights within the data.
• Contribute to the documentation of data analysis processes and findings.
• Participate in team meetings and contribute ideas for data-driven solutions.
• Learn and apply new tools and techniques in data science and analytics.
• Assist in A/B testing and other experimental designs to evaluate hypotheses.
• Prepare reports and presentations on analysis results for internal stakeholders.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and analytical techniques.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with data manipulation libraries (e.g., Pandas, dplyr).
• Basic knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities, suitable for a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Proactive attitude and ability to work independently with minimal supervision.
• A portfolio of personal projects or academic work showcasing data analysis skills is a plus.

• Acquire, process, and analyze remote sensing data (satellite, aerial imagery) for agricultural applications.
• Develop and implement GIS-based solutions for crop monitoring and management.
• Utilize remote sensing techniques to assess crop health, soil moisture, and nutrient status.
• Create predictive models for crop yields and disease outbreaks.
• Provide data-driven recommendations for precision agriculture practices.
• Collaborate with agronomists and farmers to integrate remote sensing data into field operations.
• Develop and maintain agricultural databases and GIS layers.
• Prepare technical reports and presentations on findings and recommendations.
• Stay updated on advancements in remote sensing, GIS, and agricultural technologies.
• Contribute to the development of innovative solutions for sustainable agriculture.

• Master's or Ph.D. in Agronomy, Crop Science, Soil Science, or a related agricultural field with a specialization in Remote Sensing and GIS.
• Minimum of 4 years of experience in applying remote sensing and GIS in agriculture.
• Proficiency in GIS software (ArcGIS, QGIS) and remote sensing software (ENVI, ERDAS Imagine).
• Experience with data analysis tools and programming languages (e.g., R, Python) for spatial data.
• Strong knowledge of crop physiology, soil science, and agricultural practices.
• Excellent analytical, statistical, and problem-solving skills.
• Strong communication and presentation skills.

What can you tell your friends

“As a Data Analyst at data.ai, I help analyze, monitor, and deliver comprehensive and high-quality app market data to app professionals. I am empowered to work independently with the support of team members spread across APAC, AMER, and EMEA. I am the key contributor to the new and existing product data quality analysis and convert it into actionable insight. I help build, maintain, and enhance the monitoring system with systematic and statistical measurements to ensure the entire core Intelligence data quality. I work closely with Product Managers, Data Scientists, and the Engineering team to develop, sustain and improve our product and ship it to the customers with pride.”

To ensure we execute on our values we are looking for someone who has a passion for:

As a Data Analyst, you will be working on data profiling, data cleansing, data quality monitoring, and root cause analysis which includes:

You should recognize yourself in the following…

This position is located in Hyderabad, India.

We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.