1524 Business Analytics Jobs - Page 10

As a Principal Data Engineer at Skillsoft, you will play a crucial role in driving the advancement of Enterprise data infrastructure by designing and implementing the logic and structure for how data is set up, cleansed, and stored for organizational usage. You will be responsible for developing a Knowledge Management strategy to support Skillsoft's analytical objectives across various business areas. Your role will involve building robust systems and reusable code modules to solve problems, working with the latest open-source tools and platforms to build data products, and collaborating with Product Owners and cross-functional teams in an agile environment. Additionally, you will champion the standardization of processes for data elements used in analysis, establish forward-looking data and technology objectives, manage a small team through project deliveries, and design rich data visualizations and interactive tools to communicate complex ideas to stakeholders. Furthermore, you will evangelize the Enterprise Data Strategy & Execution Team mission, identify opportunities to influence decision-making with supporting data and analysis, and seek additional data resources that align with strategic objectives. To qualify for this role, you should possess a degree in Data Engineering, Information Technology, CIS, CS, or related field, along with 7+ years of experience in Data Engineering/Data Management. You should have expertise in building cloud data applications, cloud computing, data engineering/analysis programming languages, and SQL Server. Proficiency in data architecture, data modeling, and experience with technology stacks for Metadata Management, Data Governance, and Data Quality are essential. Additionally, experience in working cross-functionally across an enterprise organization and an Agile methodology environment is preferred. Your strong business acumen, analytical skills, technical abilities, and problem-solving skills will be critical in this role. Experience with app and web analytics data, CRM, and ERP systems data is a plus. Join us at Skillsoft and be part of our mission to democratize learning and help individuals unleash their edge. If you find this opportunity intriguing, we encourage you to apply and be a part of our team dedicated to leadership, learning, and success at Skillsoft. Thank you for considering this role.,

As a Senior Manager in Buying for the Roadster Men's category, you will play a crucial role in various aspects of business analytics, financial planning, range planning, sourcing, and team management. Your responsibilities will include optimizing sales for a group of products, focusing on revenue, margins, and growth within different categories. You will be involved in product-brand mapping and range planning, utilizing in-depth product knowledge with a clear understanding of costs. Effective planning and forecasting will be essential to maximize profitability, including trend forecasts and implementing sales plans. You will also conduct competition analysis to stay updated on trends and overall assortment matrix. Financial analysis will be a key part of your role, covering sales, margin, discount, and inventory-related aspects. You will work on option planning, open-to-buy (OTB) calculations in collaboration with the central planning team, and inventory management for the entire category. Managing a team of designers, factory operations, and sourcing personnel will be part of your responsibilities. Vendor management is crucial, where you will build and maintain relationships to ensure effective vendor-product mapping, fabric and printing base network building, as well as supply chain processes to meet timely production goals. You will need at least 6 years of experience in the fashion industry, with a background in category management. Understanding market dynamics, possessing sound business judgment, negotiation skills, and networking abilities will be crucial. Comfort with data analysis and interpretation is essential for this role. Your collaborative approach will involve liaising with various brands, coordinating with sales and marketing teams to drive the growth of the category effectively.,

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators Experience: 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Delivery(RPA). Experience:3-5 Years.

years of hands-on JD for Business Analyst Profile: Duties: Understands and translates the business strategy, business goals, and business processes into an IT solution. End-to-end Delivery of Reporting for applications Across Adobe Source Systems, Interface with Adobe BUs and technical delivery teams to assist in finalising user stories, translating them to technical documentation and other system documentation required by Agile methodologies (Jira). Strong understanding of how data solves for analytical and operational use cases in Marketing, Sales, Finance, Product development, or Customer Care Produce visualisations and stories that connect data analysis, data science and analytics to useful business insights. Create impactful presentations and reports to educate internal and external customers on solutions, insights and opportunities. Design and build database-driven analytical solutions and dashboards. Analyse performance metrics, business functions and operations to determine insights and recommendations to customers. Provide directions to product managers and engineers using advanced data modeling and analysis techniques Ability to work effectively in a fast-paced, results-orientated work environment. Ability to handle and adjust to changes in requirements and direction. A positive attitude, attention to detail and great problem-solving skills are important. Self-motivated, self-starter with a team-centric focus while working in a fluid environment. Skills: Use structured and disciplined approaches to solving problems. Innovation, creativity and an outside-the-box mindset are all keys to your success as you work with stakeholders and delve into the real business needs of the client and not just take the face value of what the needs may be. 5+ years of functional or data experience with attention to detail 5+ years hands-on experience with business intelligence tools (Power BI, MicroStrategy, Tableau, etc.) 5+ years of hands-on experience with OLAP/multi-dimensional data cubes Hands-on experience in working with Hadoop, Hive, MS SQL Technologies Requires a bachelors degree. A master’s degree in business analytics/computer science or an MBA is a plus. Hands-on experience in developing and deploying web analytics, Power BI, Tableau Dashboards Experience with agile development methodologies. Strong experience with BI tools and ability to create report mockups, self-serve data models and dashboard prototypes Strong experience with the development of MDX/DAX multi-dimensional and tabular cube models Strong understanding of big data platforms (HANA, Hadoop, Redshift, etc.) and both streaming & ETL processes, and familiarity with SQL/Python Good understanding of data modelling and RDBMS concepts and experience working on star and snowflake schemas.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google BigQuery. Experience: 5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google Cloud Dataflow. Experience: 5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Network Operations - Utilities. Experience: 5-8 Years.

Role and Responsiblities: Support model validation for various supervised and unsupervised AI/ML models pertaining to financial crime compliance. Validate data quality, feature engineering and preprocessing steps. Conduct robustness, sensitivity and stability testing. Evaluate model explainability using tools such as SHAP,LIME. Review model documentation, development code, and model risk assessments. Assist in developing and testing statistical and machine learning models for risk, fraud and business analytics. Key skills and tools: Programming: Python (must-have), R, SQL, ML libraries Tools: Jupyter, Git, MLFlow, Excel, Tableau/Power BI (for visualization), Dataiku Good technical writing and stakeholder communication Understanding of model risk governance, MRM policies, and ethical AI principles. .

About Lowe s Lowe s is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe s India, the Global Capability Center of Lowe s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About the Team The Lowes Media Network team delivers best-in-class insights that help clients better understand the performance of their media, while powering an insights-centric model that enables selling, planning, and operations to maximize the revenue growth of LMN as a whole. Job Summary: The LMN Growth Insights Lead Analyst will serve as a key strategic member of the Retail Media team, owning analytics and insights projects that deliver actionable customer, category, and seasonal learnings that unlock incremental growth opportunities for both Lowe s and its top-tier vendor partners. This role blends customer-centric analysis with marketing effectiveness- creating compelling external-facing narratives that fuel vendor sales pitches, strategic media planning and enterprise marketing decisions. You will use advanced analytics techniques (e.g., clustering, seasonality modeling, new-to-brand analysis) to identify untapped revenue potential and help vendors "money map" new paths to growth through Lowes. Working cross-functionally with internal stakeholders and vendor partners, youll turn data into stories that drive strategic investments and elevate Lowes position as a uniquely valuable retail media partner. You will also be helping and mentoring analysts and senior analysts within the team. Roles & Responsibilities: Core Responsibilities: Collaborates with manager and cross-functional partners to uncover and activate sellable seasonal, audience, and category insights. Develop and deliver innovative, external-facing collateral that positions Lowe s and its strategic customer initiatives as market leaders in the home improvement and retail media space. Supports retail media network growth by utilizing data to proactively identify sales opportunity clusters in support of creating data-driven pitch recommendations. Analyze and synthesize data from multiple sources, applying data visualization best practices to tell compelling, actionable stories that drive vendor engagement and investment. Work with manager to partner with key business stakeholders on strategic Lowe s initiatives, translating business needs into research plans, so that the customers is at the center of decision making Works with manager on research design and execution. Uses advanced research statistics for in-depth data analysis and customer models and summarizes key insights from the analytics, with manager guidance. Develops and shares actionable category insights to inform media, creative, and audience strategy Use principles of research and statistics of methodology, with limited guidance. Ownership of deliverables, not only for self but for mentees. Take additional responsibilities/captainship for future development towards accuracy, efficiency and productivity. Create visibility for the team among partners and stakeholders and mentor newer/junior members of the team. Mentor newer/junior members of the team. Years of Experience: 5 to 8 Years Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelors in engineering, Masters in mathematics, Statistics, Economics etc. MBA Finance, Marketing, Analytics etc. Skill Set Required Primary Skills (Must Haves) Experience in driving research projects Curiosity and desire to understand and uncover the why behind the results. Problem Solving - Understanding how to uncover hidden insights, approach any potential issues with the data, along with a basic understanding of simple data troubleshooting. Analytical skills - Ability to pull data and translate valuable consumer and media insights. Proficient in Microsoft Excel, including advanced functions such as VLOOKUP, pivot tables, and data visualization tools. Effective Communication - Ability to present campaign results to clients in a way that is understandable to audiences of all levels of analytical sophistication. Building Relation - Setting realistic expectations, be dependable for the partners; build confidence and trust with respect to timeliness Leadership qualities - Mentoring analysts and senior analysts of the team. Helping managers to understand the needs for team. Secondary Skills (Required) Familiarity with Media data, especially retail media - Basic understanding of media metrics, along with closed-loop measurement solutions. Familiarity with big-data, and ability to query/run models- SQL, Python, R. Web Analytics - Adobe Data Visualization - Tableau, Domo, Superset

Job Overviews Designation: Jr. Business Development Executive Location: Ahmedabad Work Mode: Work from Office Vacancy: 5 Experience: 0.0 To 1.0 Apply Now Work with our core team to generate leads / reports using our tools Help us in our branding & marketing activities Get trained on business analytics & other processes required. Research consumer needs and identify how our solutions meet them

Job Overviews Designation: Business Development Executive Location: Ahmedabad Work Mode: Work from Office Vacancy: 3 Experience: 0.0 To 1.0 Apply Now Job Profile: Business Development Executive Qualification: Master s degree in Marketing / HR/ Admin, B-Tech background would be best. Skills: Excellent verbal and written communication skills in English needed. Good knowledge of MS OfficeJob type: full timeWork location: Prahlad Nagar - AhmedabadJob Description: Highly proficient in managing the full sales life cycle from prospecting, qualifying, negotiating, closing to following up with potential clients. Should possess a true passion for consultative selling to help clients achieve their business goals along with the ability to work as part of a strong and dynamic team. Work with our core team to generate leads / reports using our tools Help us in our branding & marketing activities Get trained on business analytics & other processes required. Research consumer needs and identify how our solutions meet them

Infinite Computer Solutions India Pvt. Ltd. is looking for Consultant to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

Job Title: Associate Professor - B. Tech Department: Universal Ai & Future Technologies School (UAi-FTS) Reports to: Professor and Dean - Universal Ai & Future Technologies School (UAi-FTS) Job Summary: The position of Associate Professor of Business Analytics at Universal AI University is a key role responsible for advancing academic excellence, conducting cutting-edge research, and contributing to the development of Business Analytics programs. This role plays a significant part in shaping the future of data science and analytics education while fostering a culture of innovation and research within the university. Key Responsibilities: Teaching and Curriculum Development: Develop, deliver, and continually enhance undergraduate and graduate courses in Business Analytics. Create and update course materials, including syllabi, assignments, and assessments. Incorporate the latest industry trends, tools, and technologies into the curriculum. Foster an engaging and inclusive learning environment. Research and Scholarship: Pursue active research in Business Analytics, with a strong focus on publishing high-impact research papers in reputable journals. Secure external research grants and collaborate with colleagues on multidisciplinary research projects. Stay at the forefront of emerging trends and developments in Business Analytics. Student Engagement: Mentor and advise students on academic, research, and career matters. Supervise undergraduate and graduate research projects, fostering a research-oriented mindset among students. Encourage and support student involvement in relevant extracurricular activities. Service and Institutional Contribution: Participate in departmental meetings, committees, and other service activities. Contribute to the continuous improvement of the School of Data Science and Analytics programs. Support and advance the mission and values of Universal AI University. Professional Development: Engage in professional development activities, such as attending conferences, workshops, and networking events. Maintain active memberships in relevant academic and professional organizations. Stay informed about the latest developments in Business Analytics and related fields. Qualifications: A Ph.D. in Business Analytics, Data Science, or a closely related field. A strong record of research and publication in Business Analytics. Previous experience in teaching and mentoring students at the university level is preferred. Proficiency in industry-standard tools, software, and programming languages used in Business Analytics. Outstanding communication and interpersonal skills. A deep commitment to fostering diversity, equity, and inclusion in education and research. Note: This job description provides a general overview of the responsibilities and qualifications for the role of Associate Professor in Business Analytics at Universal AI University. Specific duties and requirements may be adjusted to align with the universitys academic and administrative policies, departmental needs, and the qualifications and experience of the faculty member.

Analyze client requirements, business processes, and challenges to deliver tailored solutions that drive efficiency and growth. Conduct research, data analysis, and benchmarking to support strategy development and problem-solving initiatives. Prepare and present detailed reports, proposals, and recommendations to clients and internal stakeholders. Collaborate with cross-functional teams to implement solutions, monitor progress, and ensure project success. Provide expert guidance in areas such as operations, technology, finance, marketing, or human resources, depending on domain expertise.

About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it s powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans. We are seeking a Data Analyst with strong SQL skills and experience in dashboard development, data governance, and analytics. The ideal candidate will work closely with stakeholders across the organization to turn raw data into actionable insights, ensuring data accuracy, consistency, and compliance. You will play a key role in optimizing reporting frameworks, building data visualizations, and supporting data-driven decision-making. Key Responsibilities: Write efficient, optimized SQL queries to extract, transform, and analyze data from relational databases (e.g., RDS, Snowflake, Databricks). Develop, maintain, and enhance interactive dashboards and reports using BI tools such as Tableau, Looker. Ensure data quality, integrity, and governance by implementing best practices in data validation, lineage tracking, and documentation. Collaborate with cross-functional teams to define key metrics, create standardized reporting frameworks, and improve data accessibility. Support ad-hoc analysis to answer critical business questions and drive strategic decision-making. Partner with data engineering teams to improve ETL/ELT pipelines, ensuring clean and structured data for analysis. Monitor and analyze cloud and database usage costs, identifying opportunities to optimize query performance, storage, and infrastructure costs. Work with stakeholders to understand business needs and translate them into data-driven insights and reports. Implement data governance best practices to ensure compliance with privacy, security, and regulatory requirements. About You We get excited about candidates, like you, because... Bachelor s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. 5+ years of experience in data analysis, business intelligence, or analytics roles. Strong SQL skills with the ability to write complex queries, optimize performance, and work with large datasets. Experience with dashboarding and BI tools (Tableau, Looker, Power BI, or Mode). Understanding of data governance, data cataloging, and compliance best practices. Familiarity with ETL/ELT workflows and experience working with data engineers on pipeline improvements. Experience with cloud cost monitoring tools and optimizing query performance and storage costs. Strong problem-solving and analytical skills, with a keen eye for data accuracy and visualization best practices. Excellent communication skills, with the ability to present insights to both technical and non-technical stakeholders. Good to Have: Experience with cloud data platforms such as AWS Snowflake, or Databricks. Familiarity with Python for data analysis. Experience working with data cataloging and metadata management tools ( Alation, Databricks Unity Catalog).

COMPANY OVERVIEW: Trellance is a leading provider of business analytics and technology consulting for credit unions, helping them meet the financial needs of today s digital consumers. With a comprehensive suite of data science solutions, professional staffing, and professional services, the Trellance team ensures credit unions increase efficiency, manage risk, and improve the member experience. As credit unions tech partner, Trellance brings them to the next frontiers of fintech, filled with powerful tools such as artificial intelligence and machine learning. Data In. Insights out. Learn more at Trellance.com . Job Title: Salesforce Developer & Administrator Experience: 5+ Years Location: Bangalore Position: Full Time Position Overview We are seeking an experienced Salesforce Developer with System Administration knowledge. Key Responsibilities System Administration Manage user accounts, profiles, roles, and permissions Resolve customer portal login errors and user access issues Monitor and maintain system health and performance Handle support tickets and provide technical support to end users Troubleshoot data and application integration issues Manage Salesforce backup processes Maintain desktop add-ins such as LinkPoint and Excel integrations. Handle annual SSL certificate renewals Development Maintain and enhance existing Apex applications Maintain and enhance existing data integration feeds Maintain and enhance existing automations Process Builder and Flow Update and migrate applications and automations to maintain compliance with supported product and technology versions Governance, Compliance & Updates Deploy developer Change Sets to production environment Stay current with Salesforce functionality retirement and update requirements Implement necessary changes to maintain platform compliance Perform quarterly data recovery testing using sample records to validate backup integrity Conduct quarterly audit log reviews for compliance Document system changes and maintain configuration records Support regulatory audit requirements and processes Qualifications Required Experience with change set deployments and release management Expertise with Apex development and troubleshooting Familiarity with Office Open XML for report generation. Used in existing Apex applications. Expertise with Salesforce automation options (Flow, Orchestration, Process Builder) Understanding of SSL certificate management Proficiency with backup and recovery processes Experience with audit log analysis and compliance reporting Experience with desktop add-ins (Excel, LinkPoint, Outlook integration) Preferred Familiarity with data integration tools (SFTP, SQL, Informatica) Experience with email systems and relay configurations Knowledge of M365 email administration Familiarity with backup solutions like OwnBackup Experience with compliance frameworks and audit processes Salesforce certifications

Job Summary We are seeking a highly motivated and experienced Data Analyst with a strong focus on dashboard development to join our growing analytics team in HSR Layout, Bangalore. The ideal candidate will be responsible for transforming raw data into insightful and actionable dashboards using Power BI. You will work closely with stakeholders across various departments to understand their data needs, design effective visualizations, and deliver data-driven insights that contribute to business success. This role requires a strong analytical mindset, proficiency in data manipulation and visualization techniques, and excellent communication skills. Key Responsibilities: Data Collection and Preparation: Gather and clean data from various sources (e.g., databases, spreadsheets, APIs). Perform data profiling, cleaning, and transformation to ensure data quality and integrity. Develop and maintain data pipelines for efficient data extraction, loading, and transformation ETL) processes. Collaborate with data engineers to optimize data models for reporting and analysis. Dashboard Design and Development: Understand business requirements and translate them into effective and user-friendly dashboards in Power BI. Design and develop interactive dashboards and reports with visually appealing and insightful visualizations (charts, graphs, tables, etc.). Implement data filtering, drill-down capabilities, and other interactive features to enhance user experience. Optimize dashboard performance for speed and efficiency. Ensure consistency in design and branding across all dashboards. Data Analysis and Interpretation: Conduct thorough data analysis to identify trends, patterns, and anomalies. Interpret data and provide meaningful insights to stakeholders. Develop and apply statistical techniques and methodologies for data analysis. Document analysis findings and present them clearly and concisely. Collaboration and Communication: Work closely with business stakeholders to understand their reporting and analytical needs. Effectively communicate technical concepts to both technical and non-technical audiences. Participate in meetings and presentations to share insights and dashboard demonstrations. Collaborate with other analysts and team members to share best practices and knowledge. Maintenance and Support : Monitor and maintain existing dashboards to ensure data accuracy and functionality. Troubleshoot and resolve any issues related to data or dashboards. Implement updates and enhancements to existing dashboards based on evolving business needs. Stay up-to-date with the latest features and capabilities of Power BI. Qualifications and Skills : Bachelor s degree in Computer Science, Statistics, Mathematics, Business Analytics, or a related field. 2-4 years of proven experience as a Data Analyst with a strong focus on dashboard development. Expertise in Microsoft Power BI. Solid understanding of data visualization principles and best practices. Excellent analytical and problem-solving skills with the ability to interpret complex data. Strong communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders. Ability to work independently and as part of a collaborative team. Strong attention to detail and a commitment to data accuracy.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. & Summary The role is part of the Data Observability Specialist, being part of Enabling Data Platforms, with the aim to ensure data systems remain reliable, transparent, and aligned with organizational goals, enabling other teams to confidently use data for decisionmaking and innovation. Chapter ensures that data systems, pipelines and models are monitored, traceable and optimized for reliability and performance. s Supporting the implementation of best practices and guidelines for data observability across the organization supporting the alignment of observability aligns with data governance, quality, and compliance frameworks acting as the bridge between data observability technology and business needs collaborating with data stewards, governance teams, and business units to ensure data is reliable, transparent, and accessible training and educating teams on data observability concepts and tools collaborating to define performance indicators (KPIs) for data health, including completeness, accuracy, timeliness and resources consumption supporting clear visibility into data lineage, helping teams understand the origin, transformation, and usage of data across the ecosystem partnering with Data Governance and Engineering teams to improve lineage tracking and documentation supporting business teams in understanding the impact of data anomalies and outages supporting the response efforts from a functional perspective, ensuring that businesscritical data remains available and trustworthy using lineage insights to trace root causes of data issues and prevent recurrence monitoring that observability practices align with internal policies and regulatory requirements (e.g., GDPR) providing functional insights on data lineage, security, and compliance implications monitoring that lineage tracking supports auditability and accountability for data governance. Mandatory skill sets Must have knowledge, skills and experiences 5+ years of experience in Data Management, Data Quality and possibly Data Engineering hands on experience working with data observability, data lineage, or data quality frameworks in largescale organizations hands on experience with data observability tools (e.g., Monte Carlo, Soda, Great Expectations, Collibra, Alation, Data Bricks) Preferred skill sets Good to have knowledge, skills and experiences a Bachelor s or Master s degree in Data Management, Computer Science, Information Systems, Business Analytics, or a related field strong understanding of data lineage, data quality metrics, and data monitoring methodologies experience with data platforms and cloud environments (AWS, Azure, or GCP) knowledge of SQL and ability to interpret technical data flows an understanding of ETL/ELT processes and how data moves across the organization strong problemsolving skills with the ability to analyze data issues and recommend functional improvements excellent communication and stakeholder management skills to translate technical insights into business value excellent written and verbal English familiarity with data observability tools good knowledge of data governance frameworks and standards. Good to have familiarity with data governance frameworks (e.g., DAMA DMBOK, DCAM) and regulatory compliance (e.g., GDPR) Years of experience required Experience and Qualifications 5+ Years Education qualification o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Master of Engineering Degrees/Field of Study preferred Required Skills Data Standardization Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} No

The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google BigQuery. Experience: 3-5 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions Dos 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Network Operations - Utilities. Experience: 8-10 Years.

Solution Architects are responsible for developing end-to-end solutions for financial analytics applications develop BRD test cases, based on client requirements. Qualification: B.Tech, MCA, CA / ACCA Skills: Should have handled multiple development projects in the past (Related to Enterprise / Financial planning, budgeting, forecasting). Knowledge of Data Analytics / Modelling using any BI tools (Power BI, Tableau, Qlik, SAS, OLAP tools, etc). Good knowledge of SQL, Good Knowledge of Advanced MS Excel. Analyze the clients requirements. Compile the BI requirements and guide the development team to generate a solution. Supervise the project delivery solution. Troubleshooting business intelligence modeling issues and developing solutions

Stars Groups is looking for Business Consultant to join our dynamic team and embark on a rewarding career journey Provide business consultancy services to clients. Develop and implement business strategies and plans. Monitor and report on business performance metrics. Collaborate with clients to understand their needs and provide tailored solutions. Prepare business consultancy reports and presentations. Stay updated with industry trends and best practices in business consultancy.

company'sRole & responsibilities SAP Hybris Business Analyst (BA) Location: Cyber City, Gurgaon Indian Shift Timing: 12:30 pm to 9:30 pm Preferred Experience Level: 9-10 years Key accountabilities Lead our business analysis and insights by aiming to provide requirements, solution design, and analytical skills across a portfolio of change projects designed to improve operating efficiency across the group. Support the creation of business case documentation for investment approval on various internal projects across the group Proactively identify and assist in prioritizing opportunities to streamline business and/or system processes. Improve the companys productivity and revenue-generating procedures Business Operating Units: Work closely with the various INTO operating units to provide better decision-making using more effective data-based analysis Using knowledge of business operations to identify and investigate operational needs, problems, and opportunities, and leads the implementation of improvements within the area of responsibility Delivering analysis to proactively identify and communicate key trends and issues Develop a means to foster confidence and respect from both the information technology and business sides of the organization Recommends strategy, validating and justifying business needs, conducting feasibility studies, producing high-level and detailed business models, preparing business cases, and overseeing the development and implementation of solutions. Develop and enhance techniques and reports to improve the depth and efficiency of reporting and analysis across the wider group Improve presentation capability & business reporting across the wider group Improve forecasting capabilities across the group Responsibilities: Facilitate the implementation of SAP/Hybris Solutions to enhance the client's business functionality and overall performance Participate in the business analysis process and provide product and implementation expertise to clients on how best to implement and use the system, identify scope gaps, and advise on workaround solutions when applicable. Provide expertise on the functional use of SAP Hybris Commerce, its various administrative cockpits, and the SAP Hybris Accelerators. Lead client discussions, mapping business requirements to the SAP Hybris platform. Provide consultation to client stakeholders and business users in Omni-channel-specific business topics, including product catalog modeling, inventory management, customer service, b2b customer management, b2b procurement, demand generation, promotion strategy, cross-channel commerce, and more. Understand SAP Hybris data structures, facilitate discussions about data models, and leverage expertise and past experience to anticipate business implications of data modeling decisions and make necessary compromises. Apply expertise and experience to draw insights from analytics data (e.g. AOV, page-views, visits, unique visits, line items per order, conversion rates) to identify opportunities to improve KPIs (key performance indicators) Conduct one-on-one or small group interview sessions to gather required use cases, functional requirements, and technical requirements in order to develop requirement documentation. Provide analytical expertise in identifying, evaluating, and documenting eCommerce system requirements and procedures that are cost-effective and meet business objectives and user needs. Develop user requirements, functional specifications, technical specifications, data models, and process flow diagrams to communicate engagement scope to the client and delivery team members. Serve as an expert in the functional use of Hybris, its various administrative cockpits, and the b2b and b2c accelerators. Accountable to complete assigned work within the time specified and communicate status if task delivery dates are at risk. Collaborate with other project delivery team members to resolve business or systems issues. Configure and manage project team collaboration space (Confluence) and issue/task management system (Jira). Understand Hybris data structures, collect product catalog data from client business users, manipulate data for import into the eCommerce system and identify data gaps, and perform product data imports into the eCommerce system. (Project dependent) Provide e-commerce system demonstrations and training to client business users. (Project dependent) Act as a bridge between the client, technical, and creative teams by collecting initial design and UX requirements; providing the creative team with example promotions, product info, and images; facilitating internal, technical, and client design reviews; and ensuring that the delivered application remains true to the creative design. (Project dependent) Participate in software design, development, and implementation using relevant eCommerce platforms, specifically Hybris Perform review of pre-existing analytics (e.g., AOV, line items per order, conversion rates) to identify opportunities to improve key performance indicators. (Project dependent) Develop test plans, write manual/automated test scripts, and define acceptance criteria to ensure high-quality project deliverables. (Project dependent) Provide strong testing and debugging skills at all levels, including unit, system, integration, and performance testing The job title does not define or limit your duties, and you may be required to carry out other work within your abilities from time to time at our request. We reserve the right to introduce changes in line with technological developments that may impact your job duties or methods of working. Qualifications Approximately 2 to 6 years of total experience and Hybris Implementation experience in at least 3 projects 1-2 years implementing Hybris Commerce Concrete understanding of SAP Hybris Application Lifecycle Framework Management Consulting Experience in Business and IT Strategy and Governance, Value Management, Business Process Management, Center of Excellence Previous experience in Business / Systems Analysis or Quality Assurance Bachelors Degree in Software Development, Computer Engineering, Project Management, or related field Proven experience in eliciting requirements and testing Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools Basic knowledge of the generating process documentation Strong written and verbal communication skills, including technical writing skills Preferred candidate profile

About Us: Dough One Sources Pvt. Ltd. is an IT Services and IT Consulting start-up, which help small and medium-sized businesses fix the backend chaos that's holding them back with effective modular consulting in HR, operations, and analytics. Role Overview: We are seeking a skilled Business Analyst to support our strategic initiatives, analyze performance trends, develop insightful dashboards, and drive data-backed decisions. The ideal candidate will be adept at data analysis, business intelligence tools, and interdepartmental coordination, with a strong business acumen in the IT domain. Key Responsibilities: Communicate with business stakeholders to learn about their needs. Compile specific business requirements, then record them for later examination. Gather and analyze data from many sources to spot patterns, trends, and insights that can guide business choices and workflow enhancements. Provide thorough specifications covering functional and non-functional requirements for brand-new systems and system upgrades. To show current workflows and pinpoint areas for automation or improvement, create thorough models of business processes. Examine current corporate procedures to find inefficiencies and suggest improvements to boost output and cut expenses. Create and execute solutions that tackle recognized business requirements and process inefficiencies, guaranteeing congruence with overarching company objectives Act as a point of contact for teams and business stakeholders, facilitating the efficient exchange of technical solutions and business requirements. Skills & Qualifications: Proven experience as a Business Analyst, preferably in the IT sector. Proficiency in Excel , Power BI , Tableau , or similar BI tools. Strong understanding of data cleaning, statistical analysis, and business performance metrics. Ability to prioritize tasks and manage multiple deadlines effectively. Excellent communication, collaboration, and stakeholder management skills. Experience with financial data analysis and compliance is a plus. Preferred Traits: Self-motivated and results-oriented. Strong problem-solving skills and business intuition. Ability to handle resistance and drive consensus on data-backed solutions. Up-to-date with industry trends and emerging BI technologies.

Role & responsibilities This is a Client Account Management (CAM) role where you support key client accounts by collaborating with account leadership and internal teams. Your work helps strengthen client relationships, manage internal operations, and drive business development efforts. You will play a strategic project management role across marketing, client engagement, operations, and team leadership. Key Responsibilities Project Management: Handle end-to-end project management on initiatives like marketing campaigns, proposals, onboarding/offboarding, risk management, and more. Client & Account Support: Support account leadership with key materials, presentations, and relationship tools. Create relationship maps, org charts, and maintain client confidentiality protocols. Team Leadership: Mentor and coach team members. Handle performance evaluations and provide feedback. Internal Operations & Strategy: Drive internal processes like contracting, dashboards, and reporting. Use tools like SharePoint and Microsoft Office to manage account data. Qualifications Education: MBA or relevant full-time Masters degree Experience: 6-8 years in account management, marketing, or business development Minimum 2-3 years of team management or supervisory experience Key Skills Team management & coaching Client servicing & communication (verbal + written) Project coordination & multitasking Tools: Microsoft Office, SharePoint Strategic thinking (Minto Pyramid Principle knowledge is a plus) Understanding of financials and dashboards Work Timings 2:00 PM to 11:00 PM IST (aligning with U.S. client hours)