Our organization is in search of a seasoned Senior Data Engineer to enhance our team. In this role, you will focus on projects involving data integration and ETL for cloud environments. Your primary duties will include the design and execution of intricate data solutions, maintaining data accuracy, dependability, and accessibility. Responsibilities Design and execute intricate data solutions for cloud environments Develop ETL processes utilizing SQL, Python, and other applicable technologies Maintain data accuracy, dependability, and accessibility for all stakeholders Work collaboratively with cross-functional teams to comprehend data integration necessities and specifications Create and uphold documentation such as technical specifications, data flow diagrams, and data mappings Optimize data integration processes for enhanced performance and efficiency while ensuring data accuracy and integrity Requirements Bachelor's degree in Computer Science, Electrical Engineering, or related field 5-8 years of experience in data engineering Proficiency in cloud-native or Spark-based ETL tools like AWS Glue, Azure Data Factory, or GCP Dataflow Strong knowledge of SQL for data querying and manipulation Familiarity with Snowflake for data warehousing Background in cloud platforms such as AWS, GCP, or Azure for data storage and processing Excellent problem-solving skills and meticulous attention to detail Good verbal and written communication skills in English at a B2 level Nice to have Background in ETL using Python Show more Show less

Our company is looking for an experienced Senior Data Engineer to join our team. As a Senior Data Engineer, you will be working on a project that focuses on data integration and ETL for cloud-based platforms. You will be responsible for designing and implementing complex data solutions, ensuring that the data is accurate, reliable, and easily accessible. Responsibilities Design and implement complex data solutions for cloud-based platforms Develop ETL processes using SQL, Python, and other relevant technologies Ensure that data is accurate, reliable, and easily accessible for all stakeholders Collaborate with cross-functional teams to understand data integration needs and requirements Develop and maintain documentation, including technical specifications, data flow diagrams, and data mappings Monitor and optimize data integration processes for performance and efficiency, ensuring data accuracy and integrity Requirements Bachelor's degree in Computer Science, Electrical Engineering, or a related field 5-8 years of experience in data engineering Experience with cloud-native or Spark-based ETL tools such as AWS Glue, Azure Data Factory, or GCP Dataflow Strong knowledge of SQL for data querying and manipulation Experience with Snowflake for data warehousing Experience with cloud platforms such as AWS, GCP, or Azure for data storage and processing Excellent problem-solving skills and attention to detail Good verbal and written communication skills in English at a B2 level Nice to have Experience with ETL using Python Show more Show less

We are looking for a skilled Lead Data Engineer to enhance our dynamic team. In this role, you will focus on designing, developing, and maintaining data integration solutions for our clients. Your leadership will guide a team of engineers in delivering scalable, high-quality, and efficient data integration solutions. This role is perfect for an experienced data integration expert who is passionate about technology and excels in a fast-paced, dynamic setting. Responsibilities Design, develop, and maintain data integration solutions for clients Lead a team of engineers to ensure high-quality, scalable, and efficient delivery of data integration solutions Collaborate with cross-functional teams to comprehend business requirements and design fitting data integration solutions Ensure the security, reliability, and efficiency of data integration solutions Develop and maintain documentation, including technical specifications, data flow diagrams, and data mappings Continuously update knowledge on the latest data integration methods and tools Requirements Bachelor's degree in Computer Science, Information Systems, or a related field 8-13 years of experience in data engineering, data integration, or a related field Proficiency in cloud-native or Spark-based ETL tools such as AWS Glue, Azure Data Factory, or GCP Dataflow Strong knowledge of SQL for querying and manipulating data Competency in Snowflake for cloud data warehousing Familiarity with at least one cloud platform such as AWS, Azure, or GCP Experience in leading a team of engineers on data integration projects Good verbal and written communication skills in English at a B2 level Nice to have Background in ETL using Python Show more Show less

We are seeking a skilled Senior Data Engineer to become a part of our dynamic team. In this role as a Senior Data Engineer, you will focus on projects involving data integration and ETL processes tailored for cloud-based environments. Your main tasks will include crafting and executing sophisticated data structures, while ensuring the integrity, accuracy, and accessibility of data. Responsibilities Design and execute sophisticated data structures for cloud environments Develop ETL workflows utilizing SQL, Python, and other pertinent technologies Maintain data integrity, reliability, and accessibility for all relevant parties Work with diverse teams to comprehend data integration needs and specifications Create and manage documentation such as technical details, data flow charts, and data mappings Enhance and monitor data integration workflows to boost performance and efficiency while maintaining data accuracy and integrity Requirements Bachelor’s degree in Computer Science, Electrical Engineering, or a related field 5-8 years of experience in data engineering Proficiency in cloud-native or Spark-based ETL tools like AWS Glue, Azure Data Factory, or GCP Dataflow Strong understanding of SQL for data querying and manipulation Familiarity with Snowflake for data warehousing Background in cloud platforms such as AWS, GCP, or Azure for data storage and processing Excellent problem-solving skills and attention to detail Good verbal and written communication skills in English at a B2 level Nice to have Background in ETL using Python Show more Show less

About Gartner IT Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About The Role This role will be responsible for the management of our global data stewardship team. The Data Stewardship team is tasked to establish and follow best practice data strategies and governance frameworks to ensure our enterprise customer data is accurate, complete, secure and reliable. In this leadership role you will need a passion for data quality, an eye for process improvement and the desire for continued develop of a high-performing team of data stewards. What You’ll Do Lead team of 3-6 associates responsible to monitor and process enterprise data processes adhering to corporate data quality standards and policies Drive requirements to automate solutions to support data processes that require manual intervention ensuring consistency and quality Establish and maintain curated process documentation and operational metrics to foster transparency and reporting across all stewardship activities Establish and maintain strong partnerships with key data stakeholders across various business units, with a lens on identifying and addressing data challenges impacting critical business processes Lead through example by driving continuous improvement, promoting operational excellence, standardizing processes and fostering a no-limits mindset What You’ll Need 5-7 years of experience in a data management function 1+ years with team leadership experience Experience using variety of data extraction, querying, profiling tools Knowledge of Master Data Management desired Experience correlating performance results for leadership level review Strong desire to always improve upon their/their team’s skills Attention to detail Demonstrated ability to work independently and with little direction Ability to work effectively on multiple projects at the same time Bachelor’s degree preferred Excellent verbal and written English Who You Are Effective time management skills and ability to meet deadlines Excellent communications skills interacting with technical and business audience’s Excellent organization, multitasking, and prioritization skills Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly. Intellectual curiosity, passion for technology and keeping up with new trends Delivering project work on-time within budget with high quality Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com . Job Requisition ID:100407 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

We are seeking an experienced Lead Data Engineer to join our dynamic team. As a Lead Data Engineer, you will be responsible for designing, developing, and maintaining data integration solutions for our clients. You will lead a team of engineers to ensure the delivery of high-quality, scalable, and performant data integration solutions. This is an exciting opportunity for a seasoned data integration professional passionate about technology and who thrives in a fast-paced, dynamic environment. Responsibilities Design, develop, and maintain data integration solutions for clients Lead a team of engineers to ensure the delivery of high-quality, scalable, and performant data integration solutions Collaborate with cross-functional teams to understand business requirements and design data integration solutions that meet those requirements Ensure data integration solutions are secure, reliable, and performant Develop and maintain documentation, including technical specifications, data flow diagrams, and data mappings Continuously learn and stay up-to-date with the latest data integration approaches and tools Requirements Bachelor's degree in Computer Science, Information Systems, or a related field 8-13 years of experience in data engineering, data integration, or a related field Experience with cloud-native or Spark-based ETL tools such as AWS Glue, Azure Data Factory, or GCP Dataflow Strong knowledge of SQL for querying and manipulating data Experience with Snowflake for cloud data warehousing Experience with at least one cloud platform such as AWS, Azure, or GCP Experience leading a team of engineers on data integration projects Good verbal and written communication skills in English at a B2 level Nice to have Experience with ETL using Python Show more Show less

Entity: Finance Job Family Group: Subsurface Group Job Description: We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat, and mobility to millions of people every day. We are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. We have a real contribution to make to the world's ambition of a low-carbon future. Join us and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner and help the world get to net zero. Would you like to discover how our diverse, hardworking people are owning the way in making energy cleaner and better – and how you can play your part in our world-class team? Join our Finance Team and advance your career as Data Scientist Manager ! ROLE SYNOPSIS: The role of Staff data scientist is a senior-level position within a data-science team, responsible for leading and giving to sophisticated data analysis, modeling, and machine learning projects. This role plays a pivotal role in extracting actionable insights, driving strategic decision-making, and enhancing business processes through data-driven solutions. KEY ACCOUNTABILITIES: Advanced Data Analysis and Modeling: Feature selection and dimensionality reduction. Model evaluation and validation. Data modeling techniques. Domain knowledge: Expertise in domain in which the data scientist operates is critical for asking relevant questions and creating significant solutions. Business Insight: Understanding of business operations, market dynamics, and financial implications to prioritize data science projects that align with the FDO's goals Out of Code computing: Use libraries that support out-of-core computing, such as Dask in Python These libraries can process data that doesn't fit into memory by reading it in smaller portions from disk. Machine Learning: Innovation and Strategy - Technical directions on models and techniques in the team. Advanced Machine Learning Skills for complex models. Partnership and Communication: Effectively communicate to non-technical customers. Domain process understanding from SME. Communicate findings through visualization so interaction with visualization and reporting authorities. Continuous Learning: Stay relevant through technical data science with domain understanding. Data Ethics and Privacy: Anonymization and Pseudonymization. Data Retention Policies. Database Management: Knowledge of working with databases and querying data using SQL or NoSQL databases is valuable for accessing and extracting data Project Management: Ability to lead data science projects effectively, including prioritizing, planning, and delivering results within set timelines. Statistical Analysis and Mathematics: Solid grasp of statistical methods and mathematical concepts are needed for data analysis, modeling, and drawing significant insights from data. EXPERIENCE AND JOB REQUIREMENTS: Overall: DS&T - Data & Analysis [Data Science Team] plays a crucial role in driving data- informed decision-making and generating actionable insights to support the company's goals. This team is responsible for processing, analyzing, and interpreting large and sophisticated datasets from multiple datasets to provide valuable insights and recommendations across various domains An experienced [10years+] with master's degree or equivalent experience in quantitative, qualitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related data field is often required. Skills: Leadership role in Data Analysis, Programming proficiency in Python, SQL, Azure data bricks, Statistics & Mathematics Leadership qualities to steer the team. Strategic direction and technical expertise. Soft skills: Active listening, translate business problems into data questions, Communication and partnership. Data Sources: SAP, Concur, Salesforce, Workday, Excel files Able to prepare analytical reports, presentations and/or visualization dashboards to communicate findings, KPIs and insights to both technical and non-technical partners. Stay up to date with industry trends, standard methodologies and new technologies in data analytics, machine learning, data science technique ! DESIRABLE CRITERIA: Certified in SQL, Machine learning, Azure data bricks. Extensive experience (typically 10+ years) Effective team manager, managing team of 6-8 individuals. Lead, senior data scientists and/or data engineers. Effective team manager, managing team of 6-8 individuals. Lead, senior data scientists and/or data engineers. Tools and Libraries: Pandas, PySpark, NumPy, and SciPy. NLP, Fuzzy matching logic. Experience with SAP systems and data structures, including SAP ECC, SAP S/4HANA, or SAP BW. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

We are seeking a Lead Business Analyst with expertise in ETD/OTC to join our team. As a Lead Business Analyst with expertise in Exchange Traded Derivatives (ETD) and Over-the-counter (OTC) traded financial instruments, you will play a critical role in analyzing and understanding the impact of market and regulatory changes on the IT F2B stack. With a focus on the clearing business, you will leverage your deep knowledge to contribute to the lifecycle and markets of ETD and OTC products. Start an exciting new chapter in your career with EPAM! Responsibilities Analyze and interpret market and regulatory changes affecting ETD and OTC traded financial instruments Contribute to the lifecycle and markets of ETD and OTC products Utilize strong stakeholder management and communication skills to collaborate effectively with internal and external partners Query data sources using mid-level SQL skills for in-depth analysis Provide valuable inputs on modern software development processes like Agile and incremental delivery Requirements 8-12 years of experience in Business Analysis with a focus on ETD and OTC Deep understanding of the Clearing business, specifically ETD (Must Have) and OTC (Ideally including products) Ability to analyze and interpret market and regulatory changes and their impact on the IT F2B stack Proficiency in querying data sources with mid-level SQL skills Experience in modern software development processes such as Agile and incremental delivery Strong analytical and problem-solving skills Effective stakeholder management and communication skills Show more Show less

Our company is looking for an experienced Senior Data Engineer to join our team. As a Senior Data Engineer, you will be working on a project that focuses on data integration and ETL for cloud-based platforms. You will be responsible for designing and implementing complex data solutions, ensuring that the data is accurate, reliable, and easily accessible. Responsibilities Design and implement complex data solutions for cloud-based platforms Develop ETL processes using SQL, Python, and other relevant technologies Ensure that data is accurate, reliable, and easily accessible for all stakeholders Collaborate with cross-functional teams to understand data integration needs and requirements Develop and maintain documentation, including technical specifications, data flow diagrams, and data mappings Monitor and optimize data integration processes for performance and efficiency, ensuring data accuracy and integrity Requirements Bachelor's degree in Computer Science, Electrical Engineering, or a related field 5-8 years of experience in data engineering Experience with cloud-native or Spark-based ETL tools such as AWS Glue, Azure Data Factory, or GCP Dataflow Strong knowledge of SQL for data querying and manipulation Experience with Snowflake for data warehousing Experience with cloud platforms such as AWS, GCP, or Azure for data storage and processing Excellent problem-solving skills and attention to detail Good verbal and written communication skills in English at a B2 level Nice to have Experience with ETL using Python Show more Show less

Company Overview Reliance Industries Limited (RIL) is a Fortune 500 company and the largest private sector corporation in India. Our motto "Growth is Life" captures our spirit of innovation-led, exponential growth across hydrocarbon exploration, petroleum refining, petrochemicals, retail, and telecommunications. Founded by Dhirubhai Ambani, RIL is headquartered in Navi Mumbai, Maharashtra, and employs over 10,001 individuals. We aim to positively impact lives globally and lead in various industries, including being the largest polyester yarn producer. Job Overview Reliance Industries Limited is seeking a Lead Analyst to join our dynamic team in Jamnagar. This full-time role involves leading analytical projects and delivering critical insights to drive strategic decisions within the organization. The candidate will play a crucial role in applying advanced data analysis techniques to enhance business operations. Qualifications And Skills Proven experience in Business Intelligence (Mandatory skill). Strong critical thinking abilities to analyze and interpret complex data sets (Mandatory skill). Proficiency in project management to organize and deliver analytical projects effectively (Mandatory skill). Expertise in data analysis techniques and tools to derive actionable insights. Proficiency in statistical modeling to interpret data trends and patterns. Ability to create compelling data visualizations to present data-driven insights clearly. Strong SQL skills for querying and manipulating data stored within databases. Excellent problem-solving skills to address and resolve data-related challenges. Roles And Responsibilities Lead and manage analytical projects from inception through completion, ensuring alignment with business objectives. Develop and implement advanced data analysis methodologies to support strategic decision-making. Collaborate with cross-functional teams to identify and prioritize business intelligence needs. Create detailed reports and presentations to communicate key insights and recommendations to stakeholders. Maintain and enhance data infrastructure to support efficient data analysis processes. Ensure data accuracy and integrity through meticulous data validation and quality checks. Provide mentorship and guidance to junior analysts, fostering a culture of continuous learning and improvement. Stay updated with the latest industry trends and technologies to drive innovation within the analytics function. Show more Show less

Company Overview Reliance Industries Limited, a Fortune 500 company, embodies the motto Growth is Life across its diverse ventures like hydrocarbon exploration, petroleum refining, petrochemicals, retail, and telecommunications. Innovation is at the core of Reliance, driving us to global leadership, including the largest polyester yarn and fiber production. Inspired by founder Dhirubhai Ambani, Reliance transforms adversity into opportunity, aiming to positively impact lives. Job Overview We are seeking a Junior Cloud Engineer to join our team in Jamnagar for a full-time position. This role is suited for individuals passionate about leveraging cloud technologies to drive efficiency and productivity in our operations. The ideal candidate will possess mandatory skills in data visualization, SQL, and data mining, and be capable of employing advanced analytics to solve complex business problems. Qualifications And Skills Proficiency in data visualization to create comprehensible and actionable insights (Mandatory skill). Strong SQL skills for data manipulation and querying (Mandatory skill). Expertise in data mining techniques for extracting useful information from large datasets (Mandatory skill). Thorough understanding of statistical analysis to interpret and present data insights. Experience with machine learning algorithms and their real-world applications. Strong python programming skills for data analysis and automation. Knowledge of predictive modeling techniques and their implementation. Familiarity with big data frameworks and tools for processing large volumes of data. Roles And Responsibilities Design, implement and manage cloud-based infrastructure and services. Collaborate with cross-functional teams to understand data requirements and develop cloud-based solutions. Utilize data visualization tools to create dashboards and reports for business stakeholders. Ensure data integrity and security across all cloud platforms. Develop and maintain documentation for cloud environments and processes. Stay updated with the latest cloud technologies and best practices to ensure optimal performance. Provide technical support and troubleshooting assistance for cloud-related issues. Work on data mining projects to uncover trends, patterns, and insights that drive business decisions. Visit our website for more information: Reliance Industries Limited. Show more Show less

Company Overview Our motto "Growth is Life" aptly captures the ever-evolving spirit of Reliance. Our activities span hydrocarbon exploration and production, petroleum refining and marketing, petrochemicals, retail, and telecommunications. We are committed to innovation-led, exponential growth, achieving global leadership in many areas, including as the largest polyester yarn and fiber producer in the world. A Fortune 500 company, Reliance Industries Limited is the largest private sector corporation in India. Our headquarters are located in Navi Mumbai, Maharashtra. Job Overview We are seeking a mid-level Data Analyst to join our team in Jamnagar. This is a full-time position that involves utilizing statistical tools and programming languages to analyze data sets, interpret trends, and provide actionable insights to drive business decisions. The ideal candidate will have proficiency in statistical analysis, Python programming, and data visualization. Qualifications And Skills Proficiency in statistical analysis (Mandatory skill) Strong knowledge of Python programming for data analysis purposes (Mandatory skill) Experience with data visualization tools such as Tableau or Power BI (Mandatory skill) Experience in machine learning and its applications in data analysis Ability to develop predictive models to forecast business metrics Experience working with big data technologies and platforms Proficiency in SQL for data querying and manipulation Experience in data mining and transforming raw data into useful business insights Roles And Responsibilities Analyze large data sets using statistical techniques Identify trends, patterns, and anomalies within data to provide actionable insights Develop, implement and maintain automated reporting processes Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions Create and maintain documentation for data analysis processes and methodologies Assist in the design and implementation of data models and data mining techniques Communicate complex data findings to non-technical stakeholders in an understandable way Support continuous improvement initiatives by providing data-based recommendations for processes and operations Show more Show less

Company Overview Reliance Industries Limited, a Fortune 500 company and the largest private sector corporation in India, thrives on its ethos of innovation-driven growth. As the largest polyester yarn and fiber producer globally, Reliance expands across various sectors including hydrocarbons, petroleum, petrochemicals, retail, and telecommunications. Guided by the visionary principles of its founder, the company is headquartered in Navi Mumbai, Maharashtra and aims to positively impact lives. Job Overview We are seeking a passionate Junior Angular Developer to join our team at Reliance Industries Limited in Navi Mumbai. This is a full-time position ideal for a motivated individual ready to work in a dynamic environment. The candidate will collaborate on projects aimed at enhancing our technological capabilities. This role requires expertise in SQL, Javascript, and Angular as mandatory skills, supplemented by additional technical proficiencies. Qualifications And Skills Proficiency in Angular, with a strong understanding of its core principles and APIs (Mandatory skill). In-depth knowledge of SQL for database interactions, including querying and data manipulation (Mandatory skill). Advanced expertise in JavaScript to develop robust and scalable web applications (Mandatory skill). Experience using HTML for structuring web pages and applications efficiently. Competency in CSS for styling and designing user interfaces effectively. Hands-on experience with Bootstrap framework to ensure responsive design and seamless user experience. Understanding of Oracle DB for managing and maintaining enterprise-level database solutions. Strong problem-solving skills with the ability to learn and implement new technologies quickly. Roles And Responsibilities Develop and maintain dynamic web applications using Angular to meet client requirements. Work closely with backend developers to integrate front-end components with the server-side infrastructure. Create reusable, efficient, and scalable code following best practices and industry standards. Utilize SQL for handling data operations, ensuring data integrity and security. Optimize applications for performance and accessibility across multiple devices and platforms. Collaborate in a team-oriented environment, contributing innovative ideas for improving processes and products. Engage in continuous learning to stay updated with the latest technological advancements and methodologies. Participate actively in code reviews to improve the quality and maintainability of the codebase. Show more Show less

Company Description At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. Job Description Role: Commercial Analytics (Analyst/Associate) Experience: 1-2 years Must Have -Life sciences Commercial analytics, Marketing effectiveness, Field Force Analytics as key skills Roles & Responsibilities The candidate will work closely with client facing teams and or clients directly and will be responsible for specific responsibilities in one or more of the following areas: Excellent understanding of Pharma Data sets – Commercial, Claims Data, EMR, Digital Strong experience Marketing Analytics – Marketing Mix, Campaign effectiveness, Omnichannel Commercial Analytics – Product Launch, Segmentation and Targeting, Dashboards Deliver data and BI/analytics driven engagements Strong business acumen Strong project management skills To actively engage in knowledge learning & sharing Excellent communication skills Ability to summarize the essence in speech & in written communication Ability to influence and lead others Key Overall Skills: Should have business acumen, take initiative and be self-driven Strong conceptual knowledge on statistics Should have hands on experience in working on advance analytics projects involving statistical models Need to have worked with life sciences data sets (Commercial, Real World, Digital) Experience in requirements gathering and design for BI/analytics Strong Client facing skills Creative problem-solving skills Strong business and technical knowledge accountability Technical Skills Hands on experience working on any of the data querying language SQL Hands on experience on any of the advanced analytics tools SAS/R/Python Good Database knowledge What will you focus on? Excellent understanding on Theory & Application of the Statistical Sciences Conduct analysis to address critical business challenges faced by client teams working in healthcare and life sciences Gathering business requirements to create high level business solution framework covering aspects of data science, data driven business process Interface with client teams along to develop solutions for identified opportunities across Commercial Analytics Ability to work with large data sets and present findings / insights to key stakeholders. End to End Ownership of Use Cases Qualifications Educational Background Engineering from reputed college or equivalent with strong work experience in life sciences and statistical analysis Master’s degree in Business Administration from a reputed college or equivalent, Statistics / Operations research masters from reputed college or equivalent Additional Information OUR CULTURAL BELIEFS: Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and hold myself accountable. Embrace Diversity I create an environment of awareness and respect. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful, and timely dialogue. Always Innovate I am bold and creative in everything I do. EVERSANA is committed to providing competitive salaries and benefits for all employees. The anticipated base salary range for this position is $115,000 to $130,000 and is not applicable to locations outside of the U.S. The base salary range represents the low and high end of the salary range for this position. Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). EVERSANA reserves the right to modify this base salary range at any time. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on LinkedIn | Twitter Show more Show less

Company Overview Our motto Growth is Life aptly captures the ever-evolving spirit of Reliance. Our activities span hydrocarbon exploration and production, petroleum refining and marketing, petrochemicals, retail, and telecommunications. In each of these areas, we are committed to innovation-led, exponential growth. Our vision has pushed us to achieve global leadership in many of our businesses including our position as the largest polyester yarn and fiber producer in the world. Reliance Industries Limited is a Fortune 500 company and the largest private sector corporation in India. Job Overview We are seeking a Junior Information Technology Infrastructure Manager to join our team at Reliance Industries Limited, headquartered in Navi Mumbai but located in Bara Banki. This is a full-time position responsible for overseeing the infrastructure of our IT systems to ensure optimal performance and security. Qualifications And Skills Proficiency in Mac IOS (Mandatory skill) is essential to manage and support our Apple devices ecosystem effectively. Experience with SCCM (Mandatory skill) for managing and deploying software packages across various systems. Understanding of MDM concepts (Mandatory skill) to streamline mobile device management and enhance data security. Knowledge of statistical analysis to interpret and analyze data trends for decision-making. Experience in machine learning techniques to develop predictive models and improve IT infrastructure efficiency. Proficiency in Python programming to automate routine tasks and streamline IT operations. Skills in data visualization tools to present complex data in a comprehensible and actionable format. Proficiency in SQL for querying and managing databases to support various IT infrastructure needs. Roles And Responsibilities Supervise the daily operations of our IT infrastructure to ensure performance, stability, and security. Monitor and manage IT assets, including servers, network devices, and software applications. Utilize SCCM to deploy and update software packages across the organization's IT systems. Implement and manage MDM solutions to secure mobile devices and streamline their usage. Perform statistical analysis to identify and mitigate potential risks and inefficiencies in IT operations. Develop machine learning models to predict and address potential IT system failures. Leverage Python programming to automate routine IT maintenance tasks. Prepare and present data visuals to senior management for informed decision-making. Collaborate with cross-functional teams to ensure. IT infrastructure aligns with business goals and objectives. Show more Show less

Overview: We are looking for a hands-on, full-cycle AI/ML Engineer who will play a central role in developing a cutting-edge AI agent platform. This platform is designed to automate and optimize complex workflows by leveraging large language models (LLMs), retrieval-augmented generation (RAG), knowledge graphs, and agent orchestration frameworks. As the AI/ML Engineer, you will be responsible for building intelligent agents from the ground up — including prompt design, retrieval pipelines, fine-tuning models, and deploying them in a secure, scalable cloud environment. You’ll also implement caching strategies, handle backend integration, and prototype user interfaces for internal and client testing. This role requires deep technical skills, autonomy, and a passion for bringing applied AI solutions into real-world use. Key Responsibilities: Design and implement modular AI agents using large language models (LLMs) to automate and optimize a variety of complex workflows Deploy and maintain end-to-end agent/AI workflows and services in cloud environments, ensuring reliability, scalability, and low-latency performance for production use Build and orchestrate multi-agent systems using frameworks like LangGraph or CrewAI, supporting context-aware, multi-step reasoning and task execution Develop and optimize retrieval-augmented generation (RAG) pipelines using vector databases (e.g., Qdrant, Pinecone, FAISS) to power semantic search and intelligent document workflows Fine-tune LLMs using frameworks such as Hugging Face Transformers, LoRA/PEFT, DeepSpeed, or Accelerate to create domain-adapted models Integrate knowledge graphs (e.g., Neo4j, AWS Neptune) into agent pipelines for context enhancement, reasoning, and relationship modeling Implement cache-augmented generation strategies using semantic caching and tools like Redis or vector similarity to reduce latency and improve consistency Build scalable backend services using FastAPI or Flask and develop lightweight user interfaces or prototypes with tools like Streamlit, Gradio, or React Monitor and evaluate model and agent performance using prompt testing, feedback loops, observability tools, and safe AI practices Collaborate with architects, product managers, and other developers to translate problem statements into scalable, reliable, and explainable AI systems Stay updated on the latest in cloud platforms (AWS/GCP/Azure), software frameworks, agentic frameworks, and AI/ML technologies Prerequisites: Strong Python development skills, including API development and service integration Experience with LLM APIs (OpenAI, Anthropic, Hugging Face), agent frameworks (LangChain, LangGraph, CrewAI), and prompt engineering Experience deploying AI-powered applications using Docker, cloud infrastructure (Azure preferred), and managing inference endpoints, vector DBs, and knowledge graph integrations in a live production setting Proven experience with RAG pipelines and vector databases (Qdrant, Pinecone, FAISS) Hands-on experience fine-tuning LLMs using PyTorch, Hugging Face Transformers, and optionally TensorFlow, with knowledge of LoRA, PEFT, or distributed training tools like DeepSpeed Familiarity with knowledge graphs and graph databases such as Neo4j or AWS Neptune, including schema design and Cypher/Gremlin querying Basic frontend prototyping skills using Streamlit or Gradio, and ability to work with frontend teams if needed Working knowledge of MLOps practices (e.g., MLflow, Weights & Biases), containerization (Docker), Git, and CI/CD workflows Cloud deployment experience with Azure, AWS, or GCP environments Understanding of caching strategies, embedding-based similarity, and response optimization through semantic caching Preferred Qualifications: Bachelor’s degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MS in similar field preferred 7–10 years of experience in AI/ML, with at least 2 years focused on large language models, applied NLP, or agent-based systems Demonstrated ability to build and ship real-world AI-powered applications or platforms, preferably involving agents or LLM-centric workflows Strong analytical, problem-solving, and communication skills Ability to work independently in a fast-moving, collaborative, and cross-functional environment Prior experience in startups, innovation labs, or consulting firms a plus Compensation: The compensation structurewill be discussed during the interview Show more Show less

Role - SAP Technical CDS BIS Associate Managing Consultant Hiring Locations: India (Delhi/ Hyderabad/ Mumbai/ Noida/ Pune) Summary The SAP Technical Embedded Analytics and BIS Senior Managing/ Principal Consultant is responsible for leading and managing the design, development, and implementation of SAP Embedded Analytics and SAP Business Integrity screening solutions. This role involves overseeing projects, managing teams, and ensuring the delivery of high-quality solutions that meet client needs. The consultant is responsible for providing strategic insights and driving continuous improvement in SAP Embedded Analytics and SAP Business Integrity screening processes and systems. Skills & Qualifications Bachelor’s Degree IT or equivalent 10 to 12 years of experience in one or more SAP modules. At least four full life cycle SAP Embedded Analytics implementation and at least one SAP Business Integrity screening experience (from Blueprint/Explore through Go-Live). Ability to use Service Marketplace to create tickets, research notes, review release notes and solution roadmaps as well as provide guidance to customers on release strategy. Exposure to other SAP modules and integration points. Strong understanding of SAP S4/HANA Embedded Analytics and SAP Business Integrity screening Knowledge of SAP ECC, S/4HANA, and other SAP modules. Proficiency in developing CDS views, AMDP with deep knowledge of SQL scripting and SAP HANA modelling. Experience with SAP S/4HANA, SAP BW/4HANA, SAP Fiori, and OData services. Strong understanding of SAP HANA architecture, performance tuning, and data management techniques. Familiarity with ABAP programming and SAP HANA SQL Script Flexible to work in shifts based on the project requirement. Excellent communication, client management, and stakeholder engagement abilities. Responsibilities Document all technical specifications for implemented solutions. Proficient in developing CDS views, AMDP with deep knowledge of SQL scripting and SAP HANA modelling & ABAP/CDS with experience in the areas of Analysis, Design, Development Experience with SAP S/4HANA, SAP Fiori, and OData services Strong understanding of SAP HANA architecture, performance tuning, and data management techniques. Collaborate with clients to gather business requirements and translate them into technical solutions. CDS View Development: Design and develop complex CDS views for advanced data modelling and analytics within the SAP ecosystem. Implement data models that meet business requirements, ensuring high performance and scalability in large-scale enterprise environments. Utilize annotations and associations to enhance CDS views, enabling efficient querying and reporting. SAP Analytics Integration: Integrate CDS views with SAP BW/4HANA, SAP S/4HANA, and other SAP modules, ensuring seamless data flow and consistency across the enterprise. Develop and optimize OData services for consumption by SAP Fiori applications and other reporting tools. Work closely with SAP functional teams to translate business requirements into technical solutions using SAP CDS. Performance Tuning and Optimization: Conduct performance analysis and optimization of CDS views to minimize data retrieval times and enhance user experience. Implement best practices in SQL scripting, indexing, and data partitioning to improve the efficiency of SAP HANA-based models. Monitor and troubleshoot performance issues in CDS views and associated analytics applications. Data Management and Governance: Ensure data integrity and quality by implementing robust data validation, cleansing, and transformation processes within CDS views. Develop and enforce data governance policies, ensuring compliance with organizational and regulatory standards. Collaborate with data architects and governance teams to maintain accurate data lineage and metadata. Technical Leadership and Collaboration: Provide technical leadership and mentorship to junior developers, guiding them in the development of CDS views and SAP analytics solutions. Collaborate with cross-functional teams including SAP BASIS, functional consultants, and business analysts to ensure alignment on project goals and deliverables. Stay current with SAP advancements, continuously improving the technical capabilities of the team by integrating new features and best practices. Documentation and Best Practices: Develop comprehensive documentation for CDS views, including data models, dependencies, and performance tuning techniques. Establish and maintain coding standards, ensuring that all developments are aligned with SAP best practices and organizational guidelines. Conduct code reviews and provide feedback to ensure high-quality deliverables. Experience in SAP Business Integrity screening Manage delivery of services against agreed SLAs as well as manage escalations both internal and externally. In-depth knowledge and understanding of SAP Embedded Analytics Provide technical guidance and mentorship to junior consultants and team members. Conduct requirement gathering sessions and provide design thinking approach. Work closely with clients to understand their business needs and provide tailored solutions. Build and maintain strong relationships with key stakeholders, ensuring satisfaction and trust. Manage and mentor a team of consultants, ensuring high-quality delivery and skill development. Facilitate knowledge sharing and promote the adoption of new tools and methodologies within the team. Well experience in handling P1 and P2 situations. Show more Show less

About Cloutflow: Cloutflow is one of India’s fastest-growing influencer marketing platforms, powering campaigns for brands. We’re on a mission to redefine how brands collaborate with creators — with data, creativity, and scale. Role Overview: We are looking for a sharp and detail-oriented Data Analyst – Influencer Marketing to manage and optimize our ever-growing influencer database. You will play a crucial role in ensuring that every campaign is backed by relevant, high-quality creator data and insights. If you enjoy digging into data, finding patterns, and enabling smarter decisions – this is the role for you. Key Responsibilities: Own and maintain our internal database of influencers across platforms. Create and manage structured datasets for various campaigns and briefs. Query and extract relevant influencer sets based on campaign requirements (niche, geography, engagement, etc.). Build dashboards, reports, and tools to make data easily accessible to brand and operations teams. Identify gaps in data and work with the product team to improve data pipelines and quality. Collaborate with campaign managers to analyze influencer performance and guide selection strategy. Requirements: 1–3 years of experience in data analysis or a similar role (media/marketing domain preferred). Strong command of Excel/Google Sheets; experience with SQL or data querying tools is a big plus. Familiarity with influencer metrics like reach, engagement rate, audience demographics, etc. Detail-oriented with an analytical mindset and strong problem-solving skills. Ability to manage large datasets and translate them into actionable insights. Good communication and collaboration skills to work cross-functionally. Bonus Points For: Prior experience working in influencer marketing or digital media. Knowledge of BI tools like Looker Studio, Tableau, or similar. Why Join Us: Work at the intersection of data and creativity in the influencer marketing industry. High ownership role with direct business impact. Be part of a young, fast-paced, and ambitious team. Growth opportunities across functions in a high-scale environment. Show more Show less

Analyzing investment guidelines and interpret them to build logic-based rules to implement into automated investment compliance system for monitoring. Deliver daily/monthly/quarterly compliance reports to PM team for the new violations across all investment policies. Support onshore team by assisting them in post trade compliance monitoring activities across all the investment strategies. Assist in identifying the data governance and data reconciliation issues. Must be good with people management skills, must have on papers experience Qualifications: Bachelor’s degree with a preference to advanced degree or progression towards CFA/FRM/CAIA 4-6 years of relevant experience in investment compliance monitoring with an exposure towards rule coding. Knowledge of guideline monitoring or coding in compliance systems e.g., Charles River, Bloomberg, LZ Sentinel, Aladdin or Clearwater Analytics would be an added advantage. Good to have experience in querying database and analyzing large data sets Show more Show less

Company Description ThreatXIntel is a startup cyber security company specializing in protecting businesses and organizations from cyber threats. We offer services such as cloud security, web and mobile security testing, and DevSecOps. Our goal is to deliver customized and affordable solutions to meet the unique needs of our clients, ensuring that every business has access to high-quality cyber security services. Role Description We are currently seeking a skilled Low Code Developer for a freelance or part-time engagement. This is an exciting opportunity to work on dynamic projects with a focus on automation and smart application development using low code platforms. Key Responsibilities: Design, develop, and deploy applications using low code platforms such as PowerApps, OutSystems, Mendix, etc. Integrate SQL Server for data storage, querying, and backend logic. Use JavaScript to extend platform functionalities and enhance the user interface. Collaborate with internal stakeholders to gather requirements and deliver customized solutions. Perform testing, debugging, and documentation for all solutions delivered. Required Skills: Hands-on experience with low code development platforms. Strong proficiency in SQL Server including queries, stored procedures, and optimization. Solid understanding of JavaScript for frontend scripting. Ability to work independently and manage deliverables in a remote setup. Good communication and problem-solving skills. Show more Show less

Role Responsibilities Design, develop, and maintain ETL processes using DataStage. Collaborate with data architects to ensure optimal data integration strategies. Analyze source systems and define requirements for data extraction. Implement data quality checks and validation processes. Conduct performance tuning and optimization of ETL workflows. Work closely with business analysts to understand data requirements. Develop and maintain technical documentation for ETL processes. Perform troubleshooting and resolve data-related issues promptly. Participate in code reviews to ensure best practices are followed. Support data migrations and integrations for new projects. Collaborate with cross-functional teams to ensure alignment with business goals. Assist in preparing regular status reports for stakeholders. Implement and maintain data governance standards. Stay updated with industry trends and emerging technologies. Provide training and support to junior team members as needed. Qualifications Bachelor's degree in Computer Science, IT, or related field. Minimum of 3 years of experience in DataStage development. Strong understanding of ETL processes and data warehousing concepts. Proficient in SQL for database querying and manipulation. Experience with data modeling and database design. Knowledge of performance tuning techniques in DataStage. Familiarity with Agile development methodologies. Exceptional problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Experience with data governance and data quality standards. Knowledge of big data technologies is a plus. Experience in scripting languages (like Python or Shell) is advantageous. Willingness to learn new technologies and methodologies. Prior experience in client-facing roles will be considered an asset. Skills: data quality standards,data warehouse,etl,sql,data modeling,agile methodologies,data governance,problem-solving,database design,datastage,etl processes,scripting languages (python or shell),performance tuning Show more Show less

Designation : Web Developer (Backend Developer) Job Location - Pune [On Site ] Experience: 2-4 years About Amura Amura Marketing is a next generation Martech company, delivering end-to-end marketing and sales solutions to leading brands in India. The company's ethos is built upon the philosophy of 'Marketing Engineered', an approach that delivers marketing & sales solutions through innovative ideas in design, engineering and technology. Role In The Organization Amura is looking for a Software Developer who will be a part of a tech team that is responsible for all aspects of the ongoing software development from the initial specification, to developing, testing, and launching. If you want to design and develop websites that can change the consumer experience with a team of Crazy Developers and ever-demanding clients, Amura is the place for you! Key Responsibilities Discuss the project goals with the client and development team. Designing and building web applications using WordPress, Laravel, PHP, jQuery, javascript-based frameworks like VueJS. Troubleshooting issues in the implementation and debug builds. Working with front-end and back-end developers on projects. Testing functionality for users and the backend. Ensuring that integrations run smoothly. Scaling projects based on client feedback. Recording and reporting on work done in WordPress/Laravel. Maintaining web-based applications. Website deployment assistance - Hosting websites on Godaddy or AWS EC2 ubuntu instance Presenting work in meetings with clients and management. Skills Required 1-2 years experience working with PHP, performing unit testing, and managing APIs such as REST. A solid understanding of application design using PHP, WordPress, Laravel 8. Knowledge of database design and querying using MySQL, PostGres. Good knowledge of CRUD operations in RDBMS(MySQL) using MySQL command line, PDO and Eloquent ORM Knows programming using HTML5, CSS3, PHP, JSON, JavaScript, jQuery. Practical experience using the OOP and MVC architecture. Experience in integration of 3rd party services like SMS gateway, Payment gateway, HubSpot, ZohoCRM, SalesForce etc. Good Experience with DevOps version control/continuous integration. (GIT/GitHub/bitbucket) and Unix/Linux. Problem-solving skills and critical mindset. Is passionate about and knows how to build quality products on the web Is comfortable with agile working, fast shipment of code, and releasing new versions fast as per client feedback. Is extremely detail oriented. Strives for pixel-perfect implementation on all browsers. Is passionate about performance debugging and benchmarking. A keen eye for style and fast turn-around on tasks with attention to detail is a must Additional Skills: (will be an added advantage) API development for mobile applications Ecommerce website development using woo-commerce, shopify Provisioning server for deployment SSL certificate configuration Knowledge of javascript frameworks like VueJS(Nuxt), ReactJS(Next) Share with someone awesome View all job openings Show more Show less

Job Title: Data Scientist Location: Remote Job Type: Full-Time | Permanent Experience Required: 4+ Years About the Role: We are looking for a highly motivated and analytical Data Scientist with 4 years of industry experience to join our data team. The ideal candidate will have a strong background in Python , SQL , and experience deploying machine learning models using AWS SageMaker . You will be responsible for solving complex business problems with data-driven solutions, developing models, and helping scale machine learning systems into production environments. Key Responsibilities: Model Development: Design, develop, and validate machine learning models for classification, regression, and clustering tasks. Work with structured and unstructured data to extract actionable insights and drive business outcomes. Deployment & MLOps: Deploy machine learning models using AWS SageMaker , including model training, tuning, hosting, and monitoring. Build reusable pipelines for model deployment, automation, and performance tracking. Data Exploration & Feature Engineering: Perform data wrangling, preprocessing, and feature engineering using Python and SQL . Conduct EDA (exploratory data analysis) to identify patterns and anomalies. Collaboration: Work closely with data engineers, product managers, and business stakeholders to define data problems and deliver scalable solutions. Present model results and insights to both technical and non-technical audiences. Continuous Improvement: Stay updated on the latest advancements in machine learning, AI, and cloud technologies. Suggest and implement best practices for experimentation, model governance, and documentation. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. 4+ years of hands-on experience in data science, machine learning, or applied AI roles. Proficiency in Python for data analysis, model development, and scripting. Strong SQL skills for querying and manipulating large datasets. Hands-on experience with AWS SageMaker , including model training, deployment, and monitoring. Solid understanding of machine learning algorithms and techniques (supervised/unsupervised). Familiarity with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn. Preferred Qualifications (Nice to Have): Experience with MLOps tools (e.g., MLflow, SageMaker Pipelines). Exposure to deep learning frameworks like TensorFlow or PyTorch. Knowledge of AWS data ecosystem (e.g., S3, Redshift, Athena). Experience in A/B testing or statistical experimentation Show more Show less

Job Summary Synechron is seeking a highly experienced and detail-oriented Senior Business Analyst to join our dynamic team. In this role, you will serve as a key contributor to our business analysis function, translating complex business needs into effective solutions that support organizational goals. Your expertise will enable our teams to deliver value-driven projects efficiently and effectively, ensuring alignment with strategic objectives and stakeholder expectations. Software Requirements Required Skills: Business analysis tools (e.g., Microsoft Visio, (version 2016 or later)) Data analysis and visualization software (e.g., Microsoft Excel - advanced proficiency, tools like Tableau or Power BI) Requirement management tools (e.g., Jira, Confluence - recent versions) Workflow and process modeling software (e.g., BPMN tools) Preferred Skills: Basic understanding of enterprise-level ERP/CRM systems (e.g., SAP, Salesforce) Knowledge of project management tools (e.g., Microsoft Project, MS Teams) Overall Responsibilities Gather, analyze, and document business requirements by engaging with stakeholders, ensuring clarity, completeness, and alignment with organizational objectives. Develop detailed functional specifications, use cases, process flows, and user stories to guide development teams and project execution. Facilitate communication between business units and technical teams to ensure a mutual understanding of project scope and deliverables. Support project planning, monitoring progress, and ensuring deliverables meet quality standards and deadlines. Contribute to process improvement initiatives by analyzing current workflows and recommending efficiencies. Assist in testing and validating solutions to verify they meet business needs and specifications. Provide ongoing support during implementation, including stakeholder training and documentation. Strategic Objectives: Deliver comprehensive requirements that enable timely and successful project deliveries. Enhance stakeholder engagement and satisfaction through clear communication and tailored solutions. Promote continuous improvement by identifying opportunities to optimize business processes. Performance Outcomes & Expectations: Accurate and comprehensive requirement documentation. Successful facilitation of collaborative sessions and stakeholder buy-in. On-time delivery of specifications and supporting documentation. Positive feedback from stakeholders regarding clarity and usability of deliverables. Technical Skills (By Category) Programming Languages: Required: Basic understanding of scripting or programming concepts (e.g., SQL, Python) is preferred but not mandatory. Preferred: None specifically required. Databases/Data Management: Required: Experience with relational databases (e.g., SQL Server, Oracle) and data querying techniques. Preferred: Experience with big data tools or NoSQL databases. Cloud Technologies: Required: Familiarity with cloud platforms (e.g., AWS, Azure) focusing on cloud-based data storage and services. Preferred: Certification or practical experience in cloud services. Frameworks and Libraries: Required: Understanding of business process frameworks (e.g., BPMN, UML modeling). Preferred: Knowledge of agile frameworks like Scrum or Kanban. Development Tools & Methodologies: Required: Experience with Agile, Scrum, or Waterfall project methodologies. Preferred: Exposure to DevOps practices. Security Protocols: Optional: Basic understanding of data security, compliance, and privacy protocols relevant to business analysis. Experience Requirements Minimum of 7+ years in business analysis roles within financial services or related industries. Proven track record of managing complex projects from requirements gathering through implementation. Extensive experience in stakeholder engagement, documentation, and process modeling. Experience working in diverse regulatory environments and compliance standards is advantageous. Candidates with alternative pathways demonstrating equivalent skills—such as extensive cross-functional project leadership—are encouraged to apply. Day-to-Day Activities Conduct interviews and workshops with stakeholders to elicit detailed business requirements. Analyze existing business processes and document workflows to identify improvement opportunities. Prepare functional specifications, use cases, user stories, and process diagrams for project teams. Collaborate closely with developers, testers, and project managers in an Agile or traditional setting. Participate in sprint planning, review sessions, and status meetings. Support user acceptance testing (UAT) and assist with issue resolution. Maintain clear and organized documentation of requirements, decisions, and project artifacts. Provide ongoing communication and updates to stakeholders on project progress. Decision-Making Authority & Responsibilities: Validate solution approaches against requirements. Recommend process improvements and inform implementation strategies. Escalate issues related to scope or requirements misalignment to project leadership. Qualifications Bachelor’s degree in Business Administration, Information Systems, Computer Science, or related field. Relevant certifications (preferred but not mandatory): CBAP, CCBA, PMI-PBA, or equivalents. Participation in ongoing professional development, such as courses in business analysis, project management, or domain-specific training. Demonstrated commitment to continuous learning and adapting industry best practices. Professional Competencies Strong analytical and critical thinking skills, with an ability to interpret complex data and business scenarios. Effective collaboration and stakeholder management skills across varying levels of the organization. Excellent written and verbal communication abilities, ensuring clarity and mutual understanding. Resilience and adaptability in fast-paced environments, with a proactive approach to problem-solving. Innovative mindset, open to leveraging new tools and methods to enhance processes. Skilled in prioritizing tasks, managing time efficiently, and meeting deadlines. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Candidate Application Notice Show more Show less

Job Description: Customer Service Representative - Real Estate Technology Solutions Position: Customer Service Representative Experience: 4+ years on client support team Location: Remote JD: Key Responsibilities Customer Support & Communications Deliver fast, friendly, and accurate responses via email, ticketing systems, and (occasionally) phone or video call. Translate customer-reported issues into structured, well-documented tickets using FacilGo’s support tools. Lead weekly client update calls and status checks with select strategic customers. Manage customer-facing support trackers with clear, timely updates on ticket progress and resolution. Technical Troubleshooting & Execution Run predefined scripts, queries, or configuration updates in internal systems to resolve known issues. Use Postman to inspect API payloads and verify system interactions (e.g., invoice/WO data exchange). Leverage FacilGo's EDW to identify issues in data, documentation, and workflows or support periodic ad hoc reporting requests from customers. Assist with triage of integration issues and collaborate on resolution pathways with QA and Integration teams. Participate in root-cause investigations and identify recurring support patterns. Documentation & Cross-Functional Work Create and maintain internal documentation and customer-facing how-to guides. Conduct occasional training sessions and webinars for clients to help them make the most of our software. Assist in QA, implementation setup, and catalog configuration as needed (under guidance). ● Gather client feedback on the platform and surface meaningful insights to the Product and Engineering teams. Required Qualifications Customer Service Skills 4+ years in a SaaS support or customer-facing role (ticket-based support experience strongly preferred). Excellent verbal and written communication—able to explain technical solutions clearly and calmly. Proficient in English Experience running client meetings, managing trackers, or acting as an external-facing point of contact. Organized and detail-oriented under pressure. Proactive, responsive, solution/customer-focused mindset with strong desire to help Strong time and task management with desire to ensure tasks are completed successfully and on time Ability to work flexible hours to meet customer needs (clients are US based), including occasional evening and weekends Technical Aptitude Proficiency in querying relational databases (e.g., SQL in BigQuery or similar environments). Experience using Postman or similar tools for API inspection. Basic familiarity with JSON, REST APIs, file formats (CSV/XML/EDI). ● Ability to follow and safely execute scripts using standard admin tools ● Fast learner when exposed to new tools, logs, and workflows. Show more Show less