861 Data Mining Jobs - Page 25

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and motivated Data Analyst to join our team. This role involves close collaboration with stakeholders to understand data requirements and deliver actionable insights through advanced analytics, data modeling, and business intelligence solutions. The ideal candidate will have solid expertise in Advanced Python, Cloud platforms, and SQL, along with a passion for solving complex problems and driving data-driven decision-making. Primary Responsibilities Collaborate with stakeholders to gather and understand data and reporting requirements Design and develop business intelligence solutions using Agile methodologies Build tools and models such as segmentation, dashboards, data visualizations, and decision aids Deliver activity and value analytics to internal and external stakeholders Perform descriptive and regression-based analytics, incorporating SME input into algorithm design Manage and manipulate structured and semi-structured data from various sources Conduct data normalization, quality assurance, and transformation processes Create and maintain data pipelines, ETL workflows, and reporting models Develop and maintain dashboards and reports using Power BI and other visualization tools Provide technical support for database and infrastructure-related queries Ensure data quality and integrity throughout the data lifecycle Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Hands-on experience with Data Warehousing and Business Intelligence (DWBI) Experience with ETL tools such as SSIS and data pipeline orchestration Experience with Cloud platforms (e.g., Azure, AWS, or GCP) for data storage, processing, and analytics Experience in data mining, statistical analysis, and developing predictive models Solid understanding of database management, performance tuning, and software development fundamentals Solid command of Advanced Python for data analysis, automation, and scripting Proficiency in SQL and T-SQL, including writing complex queries, stored procedures, and performance tuning Proven excellent problem-solving, documentation, and communication skills Preferred Qualifications Bachelor’s Degree in MIS, Statistics, Mathematics, Computer Science, or a related field Experience in the healthcare industry Understanding of AI/ML Familiarity with data validation routines, data governance, and compliance standards Familiarity with Snowflake or other cloud-based data warehouses Power BI exposure for creating dashboards, scorecards, and visual analytics Proven ability to work independently and manage multiple priorities in a fast-paced environment #GEN

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities Creates and maintains a healthy product/team backlog with quantifiable benefits and justification Works closely with engineering team to deliver on roadmap commitments Understands the product, user personas and business processes in which the product is used Demo the product to clients, users and leadership team; to identify growth and efficiency opportunities Work with stakeholders to gather requirements, update on progress, identify/mitigate risks Work with the engineering team in building the right solution Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelors degree in IT/computers/Information science Masters degree in business management/product management from tier 1 institute 8+ years of experience in technical product management and US healthcare Experience in US healthcare payment integrity, claim 'fraud, waste, abuse, error' detection, data mining Solid analytical and problem solving skills Proven excellent in stakeholder management Proven excellent written and verbal communication skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities Applying knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Data mining using state-of-the-art methods Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Working with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data Work with stakeholders to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Assess the effectiveness and accuracy of new data sources and data gathering techniques Develop custom data models and algorithms to apply to data sets Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes Develop company A/B testing framework and test model quality Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Graduate degree or equivalent experience Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets Experience working with and creating data architectures Experience querying databases and using statistical computer languagesR, Python, SLQ, etc. Experience using web servicesRedshift, S3, Spark, DigitalOcean, etc. Experience creating and using advanced machine learning algorithms and statisticsregression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience with distributed data/computing toolsMap/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders usingPeriscope, Business Objects, D3, ggplot, etc. Solid problem solving skills with an emphasis on product development Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Proven excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques Coding knowledge and experience with several languagesC, C++, Java, JavaScript, etc. Knowledge and experience in statistical and data mining techniquesGLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, k-NN, Naive Bayes, SVM, etc. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Requirement Executive Market Research Employment type Contract -(6 Months) Profile Summary HealthAsyst marketing team is looking for a result driven candidate with good communication skills to work on contact database research and list building. The ideal candidate will have 2 to 3 years experience in list building, data mining, contact database management. Desired profile Market Research and Database Management • Research and build a database of prospects for marketing campaigns and sales efforts • Gather prospect details including email address, phone numbers, size etc • Ensure that the existing database is accurate and updated by adding missing information • Ensure accuracy of existing database through regular data sanitization • Clean-up new databases, de-dupe and upload in the CRM • Support the marketing and Inside sales team in prospecting exercises Key Success Factors • Prior experience in database research and managing large databases • Prior experience in IT/technology companies • Excellent operational knowledge in MS Excel • Good communication skills, ability to write clear and concise emails • Self-starter, results driven with a disciplined approach to research Education Bachelor’s Degree

About the Role: Grade Level (for internal use): 08 The Role Data Transformation Analyst I - Well Logs The Team: The global subsurface operations team is responsible for regional formation tops studies, structural maps, international data, pressure data and directional surveys. Specifically, The Well Logs team is responsible for digitizing, log editing, and petrophysical data analysis. The team also manages log data collection and publication, accuracy, customer feedback, digital and raster sales. We value shared contributions, client satisfaction and being part of the team. Responsibilities and Impact: The Data Transformation Analyst will be responsible for sourcing, analysis, digitizing, data entry, maintenance and quality control of the exploration and production well log data within the S&P Global US Energy database. Well log identification, splicing, scoring and quality assurance of high business-value well-log curves into a composite log curve set and then distribute the data to interpretation applications. Petrophysical processing of well log data using different logs software including editing of bad data, depth alignment including Powerlog and Kingdom Resolving well log escalations and providing solutions. Manage historical entries in the database. Participate in data improvement projects through global, country, basin or area reviews conducted by the team Ensure consistency, currency and correctness of the data captured from various sources. Support the team in day-to-day activities to achieve the set goals. What Were Looking For: Basic Required Qualifications: Should have bachelors or masters degree in Geology/Applied Geology/Petroleum Engineering/Earth Science. Good computer skills and basic knowledge on MS-Office suite. Good understanding of petroleum geology, well logging. Experience in the oil and gas industry. Additional Preferred Qualifications: Experience in Powerlog or Kingdom software is preferred. Interest in managing and handling geological information. Ability to convert technical information into a usable format for entry into databases. Confident user of MS Excel main functions. Good written and oral communication skills in English. Good team player with proactive behavior. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. Were a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit http://www.spglobal.com/commodity-insights . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwideso we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Our benefits include: Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Synechron is seeking a seasoned Senior Business Analyst (BA) to join our team. This role is pivotal in supporting our foreign exchange operations and enhancing business processes. The ideal candidate will possess strong analytical skills, a keen understanding of foreign exchange markets, and proficiency in SQL and Excel. As an Associate Specialist Business Analyst, you will contribute significantly to Synechron’s business objectives by providing data-driven insights and strategic recommendations. Software Requirements Required Software Skills: ExcelProficiency in data manipulation, formula creation, and reporting. SQLBasic knowledge for querying databases and managing data. Preferred Software Skills: Familiarity with business intelligence tools and data visualization software. Overall Responsibilities Conduct thorough analysis of foreign exchange operations to identify opportunities for process improvement. Collaborate with stakeholders to gather requirements and develop solutions that align with business objectives. Utilize SQL and Excel to analyze data, generate reports, and provide actionable insights. Support the development and implementation of business strategies related to foreign exchange. Ensure compliance with industry standards and best practices. Technical Skills (By Category) Programming Languages: RequiredBasic SQL for data management and analysis. Databases/Data Management: EssentialExperience in querying and analyzing data using SQL. Development Tools and Methodologies: RequiredFamiliarity with Agile methodologies for project management. Experience Requirements Minimum of 8 years of experience in business analysis, preferably within the finance sector. Strong understanding of foreign exchange markets and operations. Proven track record of delivering data-driven insights and recommendations. Day-to-Day Activities Participate in regular meetings with cross-functional teams to discuss project requirements and progress. Analyze foreign exchange data and generate reports using Excel and SQL. Engage in decision-making processes and provide strategic recommendations. Deliver presentations and updates to stakeholders on business analysis findings. Qualifications Bachelor’s or Master’s degree in Business Administration, Finance, or a related field. Certifications in business analysis or finance are preferred. Commitment to continuous professional development and staying updated on industry trends. Professional Competencies Strong critical thinking and problem-solving capabilities. Excellent communication and stakeholder management skills. Ability to work independently and collaboratively within a team. Adaptability to changing technologies and business environments. Effective time and priority management skills.

We at VIAPROM are seeking a skilled and experienced Tableau Developer to join our team within 15-20 days in Bengaluru. Candidates who are based out of Bengaluru will be preferred. The ideal candidate should have a strong background in Visualization and data storytelling. Key Responsibilities: 1. Collaborate with business stakeholders to understand their data analysis and reporting requirements. 2. Design and develop interactive and visually appealing dashboards, reports, and data visualizations using Tableau Desktop. 3. Utilize Tableau's features, including calculated fields, parameters, data blending, and advanced analytics, to create insightful and actionable visualizations. 4. Transform complex data sets into intuitive visualizations that effectively communicate key insights and trends. 5. Work closely with data engineers to extract, transform, and load data from various sources into Tableau. 6. Optimize the performance and efficiency of Tableau dashboards and reports by implementing best practices and data optimization techniques. 7. Conduct data analysis to identify trends, patterns, and anomalies within the data. 8. Collaborate with cross-functional teams to integrate Tableau dashboards and visualizations into business applications or portals. 9. Stay up-to-date with the latest Tableau features, trends, and best practices to continually enhance data visualization capabilities. 10. Provide support and training to end-users on Tableau functionality and usage. Desired Candidate Skills: 1. Proven experience as a Tableau Developer with atleast 2 years of hands-on experience. 2. In-depth knowledge of Tableau Desktop and Tableau Server, including data preparation, visualization design, and dashboard development. 3. Strong understanding of data visualization best practices, data analysis, and data storytelling. 4. Proficiency in SQL and experience with data modeling and database design. 5. Ability to gather and translate business requirements into effective Tableau visualizations. 6. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Educational Qualifications 1. Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 2. Candidates with Tableau Desktop and/or Tableau Server certification is preferable. 3. Familiarity with statistical analysis and data mining techniques. 4. Understanding of data governance and data security best practices.

Searching database related to various companies, management and relevant professionals working in the company through, Website, Google, LinkedIn and B2B directories etc. Ensuring completeness and correctness of the data. Role & responsibilities Collate accurate information of companies like key personnel, addresses, direct contact details (mobile email), qualitative information related to company size (number of employees, turnover, production, factory size etc). Data entry in CRM (Zoho). Understand and analyse the relevance of data before entering into the CRM. Communication to cross verify information. Maintain the Accuracy of the data. Understanding the business and industry verticals to get an idea about which function, and titles will have required skills. Preferred candidate profile Must have knowledge of various searching tools (specifically for email & mobile searching) Familiar with Zoho or Salesforce or similar CRM Self-motivated to achieve goals with limited supervision Strong online research skills Ability to work independently, using an analytical approach Appropriate Typing speed to be able to efficiently manage data entry

About Lowes Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 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. About the Team The Inventory replenishment team is responsible for interpretation and execution of the inventory plans for respective business categories. They analyze replenishment data and make key decisions to manage inventory needs to drive sales and return on investment. Team provides key inputs and validation of inventory fulfillment plans as the primary contact for the Supply Chain Planners. In collaboration with the key stakeholders within the supply chain, they proactively manage key performance metrics, including root-cause analysis and solution recommendations to ensures order flow meets designated capacity constrains throughout the supply chain. Replenishment collaborates with cross-functional teams, manage complex systems and processes, and provide customer support. I. Job Summary: The primary purpose of this role is to analyze and communicate actionable insights about the inventory positions within the supply chain network. This role will deep dive using current and created datasets to identify where excess & Aged inventory is present and work with the internal and US based team to create recommendations and communicate to the appropriate stakeholders on the best course of action to correct. II. Roles & Responsibilities: Core Responsibilities: Leverage existing reporting to as a starting point for further insights and align actionable insights to the appropriate stakeholder groups while recommending ways to improve all existing reporting Perform in-depth analysis into inventory issues regarding WOS, excess, non-stocked items, inactive items, Safety stock and ordering patterns Provide insight & actionable suggestions resulting from the in-depth inventory analysis Provide analysis, insights, and suggestions, and about what products and volume reside on the facilities yards, in the buildings, on order, and in process across all networks and respective buildings Analyze Create further insights on high WOS/OH/OO as it relates to events like resets, holidays, ads, exit strategies appropriate stakeholders to solve excess inventory and other network capacity issues Access and utilize data sources for ad-hoc insights when/where it does not make sense to leverage our partnered data groups Assist with any Special & Tier 1 event PO tracking and analysis as needed by the team III. Years of Experience: Overall 3+ years of Experience 3+ years of experience in Supply chain & Inventory Management IV. Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelor’s degree in business, Supply Chain, Logistics, Industrial Engineering Or MBA or master’s degree in supply chain preferred. V. Skill Set Required Primary Skills (must have) Experience in Data mining and visualization tool such as PowerBI, SQL, VBA and Excel Proficient in retail math & supply chain costs Ability to manage multiple tasks/projects simultaneously Highly organized, detail-oriented and accurate to make data driven decision Working knowledge of Merchandising decision-making tools for Suppliers, Items and Sourcing to include financial determinations Familiar with Inventory Management, Planning, Forecasting, and Transportation processes and systems Excellent writing and communication skills, including the ability to develop analytical documents for presentation to management Excellent problem-solving skills Secondary Skills (desired) MS Access, Power Apps, Python Prior analytical experience BYFF - JDA Demand & Fulfillment experience

CFO Change Automation team aims in driving opportunity assessment, prioritization, and process automation governance across all verticals of CFO. In support of CFO Change objectives this position will be responsible for managing the end-to-end delivery of complex initiatives from a functional leader perspective. His expertise will be to bridge the gap between business needs designing technical solutions coupled with his efficiency in ET. This person will be responsible for assisting business teams to expedite implementation of automated solutions through collaboration with other CFO and Enterprise Architecture teams to provide a consistent and governed approach in accordance with data management and tech strategy models. This person would serve in an execution role to support business with new and emerging tools used in process optimization efforts and driving Operational Excellence. This initiative execution/ business integration role will require the individual to lead, manage, and deliver on the end-to-end scope of Automation initiatives. This individual will get significant exposure to senior stakeholders across CFO through leading initiative routines to communicate project progress, governance, new opportunities and key decisions. Responsibilities Effectively manage the end-to-end delivery of their Automation projects / initiatives Ensure proper documentation of business requirements, process flows, design and other business analysis deliverables. The role will require skills required to deliver a complex and multi-faceted project end-to-end. Developing high quality deliverables with clearly articulated executive summaries and key messages. Strong knowledge in data warehousing concepts. Good understanding of Alteryx, Tableau, Workiva, SharePoint, VB, SQL, Data Modeling and other newly upcoming technologies. Supporting the development of an automation opportunity assessment framework and an associated automation tool selection criteria to ensure right tools are applied to the right opportunities. Partner with senior stakeholders across different lines of business Education bachelors degree (preferably in a finance) Postgraduate (MBA - Finance or equivalent) Certifications If Any Technical certifications in Workiva platform and RPA tool like UiPath, Alteryx Advanced, SharePoint and Tableau preferred. Foundational skills Must have intermediate to advanced knowledge of tools such as Alteryx and Tableau, UiPath, Workiva, Power pivot, Visual Basic, SQL and others and have relevant experience in analytics, automation and reporting. Ability to work in a fast-paced, dynamic environment is critical. Must have good project management and communications skills. Experience of managing multiple projects concurrently with tight and changing deadlines Good documentation skills to capture test results and report them to onshore process team. Good analytical skills and ability identify/raise questions. Ability to lead/facilitate discussions across various levels of stakeholders/support partners. Desired skills Excellent understanding with other programming languages such as SQL, Python and VBA will be strongly preferred. Strong collaboration and relationship management skills to drive change. Prior experience with either of self-service tools such as Alteryx and Tableau, UiPath (RPA), Power pivot, Workiva and others Proven ability to work with system tools in complex environments and good understanding of business.

We are seeking an experienced Bioinformatics Technical Lead to drive our computational biology initiatives. The ideal candidate will have 68 years of industry or academic experience (PhD or Masters in a relevant field) with a proven track record in developing and refining high-throughput pipelines for omics data, including RNA-seq, methylation, and new NGS modalities. This highly technical position requires creativity and an aptitude for developing novel computational algorithms. You will work directly with distinguished professors from leading institutions such as MIT, Caltech, Harvard, and others. This role is primarily an individual contributor position with limited leadership responsibilities, guiding a small team (24 highly qualified bioinformaticians) in a technical capacity rather than acting as a full-time manager. Key Responsibilities Pipeline Development & Optimization Design, implement, and optimize scalable, production-grade pipelines for NGS data analysis (RNA-seq, whole-genome, whole-exome, methalomics, NIPT development, novel PCR analysis etc.). Ensure reproducibility, efficiency, and accuracy of computational workflows. Algorithm & Data Analysis Develop and apply novel computational algorithms for gene expression profiling, variant calling, haplotype calls and other genomic analyses. Perform rigorous data mining and statistical analyses to extract actionable insights from large datasets. Technical Leadership Guide and mentor junior bioinformaticians and computational scientists. Conduct code reviews, provide technical feedback, and champion best practices across the team. Collaboration & Cross-Functional Engagement Work closely with molecular biologists, data scientists, and software engineers to translate project goals into robust computational strategies. Communicate results, provide data-driven recommendations, and contribute to scientific publications and intellectual property (as appropriate). Quality & Compliance Maintain high standards of data integrity, documentation, and version control. Implement quality control checks and validation strategies for all workflows. Required Qualifications Education: PhD in Bioinformatics, Computational Biology, Computer Science, or related field; or Masters degree with significant, demonstrable experience. Experience: 6-8 years of hands-on experience analyzing high-throughput NGS data, with an emphasis on RNA-seq. Proven track record of developing and deploying production-level bioinformatics pipelines. Technical Skills: Strong programming background in at least one major language. Familiarity with HPC clusters or cloud computing environments. Expertise in data mining, machine learning, or statistical modeling techniques relevant to genomics. Leadership & Communication: Prior experience in a lead role, supervising or mentoring junior team members. Excellent written and oral communication skills for technical and non-technical audiences. Preferred Qualifications Experience working in a regulated environment (e.g., CLIA, CAP, or similar). Familiarity with workflow management systems (e.g., Nextflow, Snakemake, Cromwell). Knowledge of containerization technologies (Docker, Singularity) and CI/CD pipelines. Publications or patents in computational genomics or related areas. Soft Skills Demonstrated ability to work in a fast-paced, collaborative environment. Strong problem-solving and critical-thinking abilities. Adaptability and willingness to embrace new technologies and methodologies.

Performs a group of related tasks that support the accuracy, reliability, or acceptability of results of the work group. Completes multi-step assignments. Provides moderately complex administrative and/or technical support. LOCATION- Noida RESPONSIBILITES: Produce cleaned data files, ensuring all question bases, cell assignments and quota targets are accurately represented in the data. Table data for projects of medium to high complexity. Review all data files and tables for completeness and accuracy. Ensure timely delivery on assigned tasks with high quality. Escalate problems to Supervisor/Manager for assistance as needed. Consult with project managers and survey programmers on the design of questionnaires. SKILLS AND ATTRIBUTES: Experience of 4 years & above. Office Word, Excel. Understanding of internal data processing systems and other company applications. SPSS and Quantum knowledge and experience. Knowledge of other specialized software programs like Decipher/ Confirm IT used to collect data from market research studies. EDUCATION AND EXPERIENCE: Bachelor's degree in related field or equivalent work experience. Experience in survey data table preparation and coding or related experience or equivalent.

The successful candidate will join the Trade Processing Derivatives and Lifecycle Management team, which manages multiple applications across Fixed Income and Currencies (FIC) supporting global trading platforms for trade capture and lifecycle management. This front officefocused role involves collaboration with a global team to deliver strategic changes and system enhancements while maintaining critical front office systems. Candidate will be part of the global BA team in the trade processing regulatory stream of work. The position interfaces with diverse stakeholders including regulatory, front office, middle office and various other teach teams. Role Responsibilities Requirement gathering, documentation, planning, implementation and release management Analysis, data mining, data extraction, investigation of production queries and user queries QA/UAT testing, working with QA team and regulatory operations team to ensure releases are we'll tested, seeking sign off from impacted systems Owning and improving functional and regression test pack Work closely with dev and QA team in putting together automation Work closely with global dev, qa and support teams Work closely with regulatory operations, front office, and crossfunctional IT teams Participate in firmwide strategic initiatives Support and enhance regulatory reporting frameworks Skill Set Essential: A committed team player who possesses strong analytical and problem solving skills along with good written and verbal communication skills. Able to work with people across different departments, countries and regions. Good communication skills (clear and concise). On the feet thinker who can quickly investigate and troubleshoot, if required, production related queries from various stakeholders. Ability to think logically and systematically to devise solutions that conforms to already existing system framework. Ability to exhibit high level of professionalism in team oriented environment. Technical: Good understanding of SQL and relational databases. Good understanding of SDLC and testing practices MS Excel ability to write and understand excel functions, macros and perform lookups Knowledge of basic UNIX commands Basic programming knowledge with handson experience in test automation Domain Exposure to finance domain, capital markets, rates, derivative products Credit or Rates business experience, comfortable with key business concepts. Risk or pricing experience.

Transportation Financial Systems (TFS) is one of the largest technological components within the transportation organization enabling the corporation to conduct global trade. These systems are a cornerstone to the success of all global program launches including retail expansions into new geographies and the establishment of new transportation arcs. TFS provides an end-to-end financial solution for all financial transactions including tax integration, financial document creation & management, expense auditing, accounting, payments, and cost allocation functions. We leverage the latest machine learning technologies to develop highly scalable next generation products driving real time financial accounting, reporting, and business insights. This role supports the development of a best-in-class financial system that enables sustainable growth of the Amazon Transportation Network. We seek an analytical, technically skilled, innovative, hands-on, and customer-obsessed Business Intelligence Engineer to join our fast-paced team. You will help improve shipping cost predictions to reduce overall cost to delight our customers. The ideal candidate thrives in a fast-paced environment, enjoys working with large volumes of data, embraces complex business challenges, and is passionate about data and analytics. This role is pivotal in supporting our product, business, and tech teams in meeting their ambitious goals by providing targeted, actionable insights. Manage strategic projects involving partner teams such as BI teams and Customer teams Develop and manage data: Build standardized reporting processes and dashboards Automate data pipelines where possible Develop, program, manage, and maintain complex statistical datasets Perform data analysis and problem-solving: Define and utilize statistical methods to solve TFS business and industry-specific problems Research problems and identify data required to answer specific questions Identify trends and inter-relations in data Compare insights to identify patterns, relationships, and problems Communicate insights and findings: Prepare detailed reports for management and other departments Analyze and interpret data Communicate findings to TFS business partners and stakeholders Collaborate and guide: Work with partner teams Guide proper development of data assets Supervise data entry when necessary Ensure data quality and governance: Implement best practices for data management Contribute to data governance initiatives Feel free to reach out to akhilsht@ in case further clarification is needed? - 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Collaborates with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact . Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP). Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.) More than 5 years of dedicated experience in various data science-related roles in the industry. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Collaborate with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact . Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP). Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.) More than 8 years of dedicated experience in various data science-related roles in the industry. Experience in agile project management with internal and external partners. Strong project management skills with the ability to manage multiple projects simultaneously. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Purpose Be integral part of the PS Data Science team that applies technical expertise in data management, data science, machine learning, artificial intelligence, and automation to design, build, deploy, and maintain solutions across multiple countries. Work with project teams and SMEs to understand business requirements and develop appropriate data and AI/ML solutions. Contribute solutions with explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques to existing and new projects. Work independently to build applications for data collection and processing, exploration and visualization, analysis, regression, classification, and generation as required by the project and business teams. Accountabilities Develop and implement complex statistical models, machine learning algorithms, and data mining techniques to extract insights from large datasets. Lead data science projects from conception to completion, defining scope, methodology, and deliverables. Collaborate with business leaders to translate data insights into actionable strategies and recommendations. Guide and mentor junior data scientists, fostering their professional development and technical skills. Contribute to the design and improvement of data architecture, pipelines, and storage solutions. Stay current with the latest advancements in data science and introduce new techniques or technologies to the organization. Establish and maintain standards for data quality, documentation, and ethical use of data. Present complex findings to both technical and non-technical audiences, including executive leadership. Address complex business challenges using data-driven approaches and creative solutions. Improve the efficiency and scalability of data processing and model deployment. Develop deep knowledge in Syngenta s PS operations to better contextualize data insights. Own the design, build, and deploy process including collaboration with users and multi-disciplinary teams to fulfil the user, business and technical requirements. Required Knowledge & Technical Skills Bachelor s degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience). Understanding of ETL processes and data pipeline design. Required development skills: Data Science - TensorFlow Scikit-learn, SciPy, NumPy, Pandas, XGBoost, Keras, etc. Programming - Python with pytorch and tensorflow Data - SQL, EDA, Descriptive and Predictive analysis, visualization Preferred additional skills: Web services - RESTful APIs and API testing, JSON, etc. Front end - JavaScript, Flask, React, Node.js, Vue, Django, or other. Tools - Git, npm, pip, Heroku, or other tools. Knowledge and hands-on experience supervised and unsupervised ML using Logistic/multi-variate regression, Gradient Boosting, Decision Trees, Neural Network, Random Forest, Support Vector Machine, Naive Bayes, Time Series, Optimization, etc. Preference for proven experience in adapting algorithms to required models - Regression, Decision Trees, Random Forests, LLM. Preference for experience in production and supply domain: production planning, supply chain, logistics, track and trace, CRM, etc. Preference for experience in Deep Learning model development in agriculture, supply chain or related domains. Documentation of documentation of APIs, models, and operational manuals (Markdown, etc.). Must be able to work on end to end activities from design, development and deployment Required Experience Previous internship, placement, or project experience in data engineering, data science, software development, or a related field. Required 2 years experience of building data science projects using AI/ML models. Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Data Bricks (preferred but not essential).

Indus Towers Limited is looking for IT - Data Analyst - Team Member to join our dynamic team and embark on a rewarding career journey. Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Source new sales opportunities through lead sourcing/data mining, follow-up and outbound cold calls and emails. Understand customer needs and requirements. Route qualified opportunities to the appropriate sales team for further development and closure. Close sales and achieve quarterly quotas. Research accounts, identify key players and generate interest. Maintain and expand your database of prospects within assigned territory. Requirements and skills Proven inside sales experience. Track record of over-achieving quota. Strong phone presence and experience dialling dozens of calls per day. Proficient with corporate productivity and web presentation tools. Experience working with CRM. Excellent verbal and written communications skills. Strong listening and presentation skills. Ability to multi-task, prioritise, and manage time effectively. Bachelors degree or equivalent.

The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key responsibilities include: - Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. - Collaborate with cross-functional teams to architect and execute technically rigorous AI projects. - Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines. - Engage in effective technical communication (written & spoken) with coordination across teams. - Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. - Publish research papers in internal and external venues of repute - Support on-call activities for critical issues Basic Qualifications: - Master s or PhD in computer science, statistics or a related field - 2-7 years experience in deep learning, machine learning, and data science. - Proficiency in coding and software development, with a strong focus on machine learning frameworks. - Experience in Python, or another language; command line usage; familiarity with Linux and AWS ecosystems. - Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. - Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. - Papers published in AI/ML venues of repute Preferred Qualifications: - Track record of diving into data to discover hidden patterns and conducting error/deviation analysis - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations - The motivation to achieve results in a fast-paced environment. - Exceptional level of organization and strong attention to detail - Comfortable working in a fast paced, highly collaborative, dynamic work environment - 3+ years of building models for business application experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Knowledge of standard speech and machine learning techniques - Experience using Unix/Linux - Experience in professional software development

Profile Understanding : Financial Analyst : Job description : Responsibilities : - Preparation/Review of monthly/quarterly/annual Financials (P&L, Balance Sheet and Statement of Cash Flows). - Responsible for filing and submitting financial surveys globally accurately and timely. - Advise and provide solutions to improve the current systems and process. - Responsible for coordinating with global teams and processes for collecting and entering data in surveys. - Supporting preparation of monthly JV entry process for multiple countries. - Preparing and supporting reconciliations of accounts and finding the variances wherever applicable. - Managing and supporting as admin the accesses of the share point globally. - Should be able to work under minimal supervision and manage the work assigned. - Perform inter-system reconciliation, track funds and make sure they are applied to appropriate transactions. - Liaising with agents/counter parties/clients to solve queries and discrepancies related to the process. - Timely escalating outstanding issues to Client Working in teams. - Handling different stages of life cycles of financial products. - These stages can be KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, confirmations of trade, corporate actions, tax operations. - Timely escalations of outstanding issues to clients. - Preparing internal and client reports as per process requirements. - Partner with Risk and Finance teams on cross-enterprise strategic initiatives by driving key analytics to inform business decisions - Drive awareness of data / insights / market / portfolio trends across businesses and proactively identify opportunities for analysis - Develop skills; mining and analysing data to identify credit risk and collections opportunities across portfolios to enhance margins, either through revenue generation or expense reduction (primarily via SQL) - Provide thought leadership on projects across the Global Risk Finance organisation to help AXP meet its long-term growth targets - Evaluate Risk projects that span multiple businesses and produce cost/benefit analysis to inform prior prioritisation of investment dollars. The key skills required for this role are : - Bachelors/Master's Degree required. - Proficient in Microsoft Excel and data management - Demonstrated creative and critical thinking skills - Able to work on multiple projects simultaneously - Strong communication and presentation skills Apply Save Save Pro Insights Location - Maharashtra,Odisha,Guwahati,Mumbai,Navi Mumbai,Aurangabad,Cuttack,Bhubaneshwar,Pune,Nasik,Nagpur

About the Role - We are seeking a highly skilled and experienced Senior Data Scientist to join our data science team. - As a Senior Data Scientist, you will play a critical role in driving data-driven decision making across the organization by developing and implementing advanced analytical solutions. - You will leverage your expertise in data science, machine learning, and statistical analysis to uncover insights, build predictive models, and solve complex business challenges. Key Responsibilities - Develop and implement statistical and machine learning models (e.g., regression, classification, clustering, time series analysis) to address business problems. - Analyze large and complex datasets to identify trends, patterns, and anomalies. - Develop predictive models for forecasting, churn prediction, customer segmentation, and other business outcomes. - Conduct A/B testing and other experiments to optimize business decisions. - Communicate data insights effectively through visualizations, dashboards, and presentations. - Develop and maintain interactive data dashboards and reports. - Present findings and recommendations to stakeholders in a clear and concise manner. - Work with data engineers to design and implement data pipelines and data warehousing solutions. - Ensure data quality and integrity throughout the data lifecycle. - Develop and maintain data pipelines for data ingestion, transformation, and loading. - Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence. - Research and evaluate new technologies and tools to improve data analysis and modeling capabilities. - Explore and implement new data science techniques and methodologies. - Collaborate effectively with data engineers, business analysts, product managers, and other stakeholders. - Communicate technical information clearly and concisely to both technical and non-technical audiences. Qualifications Essential - 4+ years of experience as a Data Scientist or in a related data science role. - Strong proficiency in statistical analysis, machine learning algorithms, and data mining techniques. - Experience with programming languages like Python (with libraries like scikit-learn, pandas, NumPy) or R. - Experience with data visualization tools (e.g., Tableau, Power BI). - Experience with data warehousing and data lake technologies. - Excellent analytical, problem-solving, and communication skills. - Master's degree in Statistics, Mathematics, Computer Science, or a related field

Role Senior Data Analyst. Experience 6 to 10 years. Location Bangalore, Pune, Hyderabad, Gurgaon, Noida. Notice Immediate joiners only. Data Analyst EDA Exploratory Data Analysis, Communication ,Strong hands-on SQL ,Documentation Exp, GCP Exp, Data pipeline Exp. Requirements - 8+ years experience in Data mining working with large relational databases, succession using advanced data extraction and manipulation tools (for example; Big Query, Teradata, etc.) working with both structured and unstructured data. - Excellent communication skills, both written and verbal able to explain solutions, problems in clear and concise manner. - Experience in conducting business analysis to capture requirements from non-technical partners. - Superb analytical and conceptual thinking skills; to not only to manipulate but also derive relevant interpretations from data. - Proven knowledge of the data management lifecycle, including experience with data quality and metadata management. - Hands on experience in Computer Science, Statistics, Mathematics or Information Systems. - Experience in cloud, GCP Bigquery including but not limited to complex SQL querying. - 1-2 years or experience/exposure in the following : 1. Experience with CI/CD release processes using gitlab,Jira, confluence. 2. Familiarity with creating yaml files, understanding unstructured data such as json. 3. Experience with Looker Studio, Dataplex is a plus. - Hands on engineering experience is an asset. - Exposure to Python, Java nice to have.

1.1 Job Description The research associate will need to gather Information from publicly available resources as well as commercial resources. 1.2 Responsibilities Gathering data from primary and secondary sources of information. secondary searches using various sources like doctor homepage, PubMed, conference, Association, Industry or Pharma companies, etc) Verification and Validation of physician/doctor information for appropriate Affiliation, Specialty, Nationality & Postal code Reporting to Team Leader 1.3 Skills Technical understanding in life science related information like therapeutic area, specialty. Self-starter with good interpersonal, comprehensive and communication skills. Good grasp and understanding & explaining capabilities Web research capabilities Proficient in Microsoft Office (Word, PowerPoint, Excel) Experience and basic skills in searching for scientific data and information Strong attention to detail and a strong analytical mind

Profile Overview: We are looking for an experienced Business development professional who will get new business opportunity from Thermal power plants for disposing the FLYASH and who also identify cement, bricks industry, mines and NH and other avenues for ASH disposal. : - Complete Responsibility for getting new business from Thermal power plants in Chhattisgarh for both fly and legacy ash disposal as per the margins agreed by the management. - Identifying mines/low lying to fill with the ash - Calculating the distance and arriving at the costing for the disposal activity. - Arranging the local approvals for mine dumping from the mine owners and other government agencies including RO CECB, SDM etc. - Arranging quotation from local transporters from power plants to mines/low lying areas - Responsible for identifying new buyers like cement plants and bricks plants to enhance the sale/disposal of Silo Ash. - Responsible for getting the new business of ash disposal to other road projects and other infrastructure projects. - Manage good relationships with buyers for their short term and long term business needs - Coordinate with thermal power plants and ensure engagement by maintaining the rapport and relationship for further business. - Manage all administrative activities and official activities thereby maintaining a safe disposal of ash disposal - Responsible for building the operational team once the order is taken Desired Profile: - Any graduate with 8 to 15 yrs of experience in FLY ash management. - Excellent relationship with Thermal power plants, Bricks and Cement manufacturers - Should have good understanding of managing the FLY ASH business - Willing to travel - Should have good negotiation skills