1826 Data Mining Jobs - Page 23

As a Data Admin, you will leverage your expertise in Statistical Analysis, Machine Learning, Data Visualization, Predictive Modeling, Big Data, SQL, Data Mining, VBA, and Power BI to support category management teams in executing NDAs and Agreements. Your responsibilities will include agreement renewal, supplier premium program follow-up, and supplier business meeting review setup. You will develop and maintain trackers, generate monthly reports, and create visual dashboards representing sub-category spend by region. Additionally, you will work on workflow creation in Microsoft SharePoint and automate reports using Microsoft Excel Macros, VBA, and Power BI. The ideal candidate should possess a bachelor's degree in electrical engineering from a reputable institution. Essential requirements for this role include interpersonal skills, expertise in Microsoft Excel, Macro, and Power BI, creativity in Microsoft PowerPoint presentations, and proficiency in root cause and corrective analysis. Knowledge of Python and SQL would be advantageous. Your attitude and ability to work in a hybrid environment across different time zones are key selection criteria for this position.,

The Lead Analyst provides support across multiple departments that impacts revenue and profitability across the organization. This position plays a key role in the implementation of pricing strategies and policies through the use of various analytical and data intelligence framework. As a lead within the Pricing organization, you will develop recommendations based on quantitative and qualitative analysis and may be called to present to senior level management across the organization. Your main responsibilities include acting as a technical pricing expert on complex and specialist subjects, supporting management with the analysis, interpretation, and application of complex information, and contributing to the achievement of divisional and corporate goals. You will support or lead projects by applying your area of expertise. Additionally, you will design and implement processes and solutions associated with a wide variety of data sets used for data/text mining and analysis to support informed business decisions. You will gain insight into key business deliverables by examining structured and unstructured data from multiple disparate sources. Utilizing current and emerging technologies, you will evaluate trends and develop actionable insights and recommendations to management based on the available information for analysis. In terms of core competencies, knowledge, and professional experience, you should have an understanding of Enterprise Pricing/SAM Pricing aligned with the commercial strategy to achieve overall revenue objectives. Business planning and financial modeling skills are essential, along with 5+ years of working experience on all OpCos Pricing including FXE, FXG, FXF. Providing recommendations to business partners and management on a broad range of business critical topics is crucial, with at least 7+ years of experience, including 5+ years in a Strategic Pricing role. Extensive experience working on complex pricing bids for Enterprise/SAM customers is required, and an MBA in Marketing/Finance from a top-tier institute is necessary. In terms of roles and responsibilities, you will be involved in commercial activities such as pricing strategy development, customer insights analysis, governance, pricing models/analysis, stakeholder management, process transformation, analytical solutions, and project management. Your behavioral skills should include curiosity and eagerness to learn new skills and knowledge, adaptability to take on varied assignments, self-initiative to transform business processes, and being a team player. The ideal candidate should possess analytical skills, data mining and interpretation skills, accuracy, attention to detail, planning and organizing skills, influencing and persuasion skills, and presentation skills. FedEx is an equal opportunity/affirmative action employer committed to a diverse, equitable, and inclusive workforce. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy, physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.,

The Information Services Group (ISG), Data Solutions organization at Citi is dedicated to fostering a data-driven culture by providing innovative technology solutions and simplifying access to quality data and business intelligence. As a part of the Reference Data Management group within ISG Data Solutions, the Senior Business Analyst plays a crucial role in facilitating communication between business users and technologists. This intermediate-level position focuses on exchanging information in a clear and logical manner to support continuous exploration of business performance and drive business planning initiatives. The Execution BA Team, operating on a global strategic technology platform - Global Corporate Action Event Repository, carries out key tasks such as processing vendor data feeds, mapping data, analyzing and researching data, working on Swift messages, developing user interfaces, publishing data to downstream clients, establishing rules and governance, ensuring accuracy and timeliness of information, and collaborating with stakeholders worldwide. The team's efforts are centered around meeting client and user requirements to shape the product roadmap effectively. As a Senior Business Analyst, your responsibilities will include creating business and functional requirements, data modeling and mapping, data mining and transformation, SQL proficiency, collaborating closely with IT, project management, and operations teams, developing interfaces like web GUI and API, working with data providers vendors, defining EPICs and user stories based on client requirements, engaging with stakeholders, and documentation and user training. Key Skills required for this role include working with clients to gather business requirements, possessing strong analytical and writing skills, experience in writing functional and technical specifications, validation and testing in collaboration with development, quality assurance, and operations teams, understanding data vendor/data source hierarchy for Golden Copy, familiarity with business process reengineering and business modeling concepts, and an ability to focus on high-quality work under pressure with a keen eye for detail. The ideal candidate should have a bachelor's degree or equivalent experience, at least 8 years of relevant experience, proven ability in using complex analytical and problem-solving techniques, strong interpersonal and management skills, clear written and verbal communication, self-motivation, and the ability to work under pressure to meet deadlines methodically and with attention to detail. Citi is an equal opportunity and affirmative action employer, offering a full-time position within the Technology Management job family group. If you are passionate about leveraging data-driven insights to drive business strategies and possess the required skills and experience, we invite you to apply and explore career opportunities with us at Citi.,

As a Data Science Team Lead, you will be responsible for leading a team of data scientists, planning data projects, and building analytic systems and predictive models. Your role will involve managing a team of data scientists and machine learning engineers, as well as engaging in pre-sales activities and building proposals. You will need to apply your strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data and creating reports, and aligning data projects with organizational goals. You will need to understand business problems and design end-to-end analytics use cases, develop complex models and algorithms to drive innovation, conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance, collaborate with model developers to implement and deploy scalable solutions, and provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models including Multiple and Multivariate, experience in Classification models including Ensemble techniques, experience in Unsupervised models including K-Means, DBSCAN, LOF, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, Markov, strong real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.), excellent written and verbal communication skills along with a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced start-up environment, and an additional advantage of having experience in semi-structured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional programming skills in C, C++, Java, or .Net would be beneficial.,

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. As an Equifax Model Performance Monitoring Analytics Consultant you will play a pivotal role in the Model Governance function within Data and Analytics (D&A). You will deliver and manage Model Governance projects, including complex modelling monitoring and supporting ongoing validation assignments. You will provide consultancy and have engagement with key stakeholders such as Core and Client Analytics, Product, Compliance and Data Privacy. As a Model Performance Monitoring Analytics Consultant you will have expert knowledge of the way scorecards and models are built, having worked on a number of developments across several verticals. Your Model performance monitoring outputs will be presented and reviewed at the Equifax Analytics Governance body the Analytics Council. As an Equifax Model Performance Monitoring Analytics Consultant you will : Develop and implement monitoring systems for statistical models using proven experience in statistical model development and in-depth analytical and modeling expertise, leveraging CRA data assets. Manage all stages of Model Performance Monitoring projects, including design, development, and execution, to meet quality standards and project timelines. This encompasses all model types, such as logistic regression and Machine Learning techniques. Support the Equifax business with technical model monitoring and validation expertise and consultancy, leading to constructive and effective working relationships with other departments and business units including model owners, model developers, platform owners, marketing, technology, compliance, legal and business owners. Lead the implementation of on-going step improvements in Equifax model performance monitoring software and processes / procedures. Communicate analytical Model performance results to cross functional stakeholders and senior Analytics leaders. The role involves using data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making. Understand of the regulatory landscape with respect to CRA Model Performance Monitoring and the potential impact to our clients What you ll do Works in Data and Analytics to independently design projects to meet business needs Leverage advanced techniques to create code that is optimized, efficient, repeatable and scalable Use analytical insights to develop solutions, improved processes and work with counterparts in the business to implement proposed solutions Understand ingestion prioritizations, analyze, understand and prepare complex and new data sources and incorporate them into project design. Acts as a domain and/or technical lead to more junior members Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users Solve complex internal or customer analytical problems across various business domains and areas of expertise Ability to talk to impact and strategic importance of findings on the business (either Equifax or external customer) and recommend appropriate course of action; ability to advocate to implementation of solutions and improved processes as well as share the qualitative and quantitative elements to drive value and share the "so what out of the analysis being performed. Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals What experience you need BS degree in a STEM major or equivalent discipline 5-7 years of experience in a related analyst role Cloud certification strongly preferred Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis. Experience working with non-technical partners to explore new capabilities and data monetisation opportunities What could set you apart Experience in a credit risk / model development environment developing statistical models, with hands on detailed analytic & modelling expertise, ideally leveraging CRA data assets Experience in scorecard monitoring Experience in the use of credit bureau data Experience in programming languages SAS, SQL and Python in a credit risk environment Strong written and verbal communication and consulting skills, with the ability and confidence to present to business partners and senior management Proficiency with Google suite or MS Office (docs/Word, sheets/Excel, slides/PowerPoint) Experience with model risk management and/or compliance Expertise in scorecard validations within a given industry sector Previous analytical consultancy in a big data environment Exposure to machine learning techniques Experience with data visualization tools. Cloud experience using GCP or Amazon AWS We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possibleApply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Primary Location: IND-Pune-Equifax Analytics-PEC IND-Pune-Equifax Analytics-PEC-Remote Function: Function - Data and Analytics Schedule: Full time

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015. Our flagship processing platform - Zeta Tachyon - is the industry s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 15M+ cards have been issued on our platform globally. Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios. Zeta has over 1700+ employees - with over 70% roles in R&D - across locations in the US , EMEA , and Asia . We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021. The Role This role provides an exciting opportunity to be at the forefront of AI innovation, contributing to the development and implementation of solutions that push the boundaries of technology. If you are passionate about AI, thrive in a collaborative environment, and enjoy driving impactful projects, this position offers a platform for creativity and professional growth. Join us in shaping the future of AI applications Responsibilities: Integration: Collaborate with software engineers to deploy and integrate data models into production systems, ensuring scalability, reliability, and efficiency. Metrics Identification: Identify key business metrics, offering insights that inform decision-making processes and recommending product features when necessary. Concept Development and Design: Collaborate with cross-functional teams to brainstorm and refine ideas for AI-powered solutions and various NLP/ML use cases. Translate business requirements into technical specifications for models and algorithms. Design and develop innovative solutions that address specific business challenges and enhance user experience. Model Development and Optimization: Develop and implement machine learning models using Python, R, or other relevant programming languages. Employ deep learning techniques and algorithms to extract meaningful insights from large datasets. Continuously improve and optimize models to achieve high accuracy and performance. Exploratory Data Analysis and Insights: Conduct exploratory data analysis to uncover patterns, trends, and hidden relationships within data. Utilize statistical and data mining techniques to extract valuable insights from unstructured data. Generate actionable recommendations and insights for future product development and feature enhancements. Rapid Prototyping and Deployment: Quickly prototype AI solutions to test and validate their effectiveness. Collaborate with software engineers to seamlessly integrate AI models into production systems. Ensure the scalability, reliability, and efficiency of deployed AI solutions. Communication and Collaboration: Effectively communicate technical concepts and findings to non-technical stakeholders. Create clear and comprehensive documentation to capture project details, methodologies, and results. Collaborate with software engineers, product managers, and operations teams to bring AI solutions to life. Business Impact and Metrics: Identify key business metrics that can be positively impacted by AI solutions. Track and monitor the performance of AI models on relevant business metrics. Recommend product features and enhancements based on data-driven insights and AI-generated recommendations. Skills Quantitative and Problem-Solving Skills: Strong quantitative and problem-solving skills NLP and Data Science Libraries: Solid understanding of NLP and knowledge of essential data science libraries, including Pandas, Numpy, Scipy, and Scikit-Learn Python Programming: A good hands-on experience with Python used in data analysis and model building Distributed Computing Experience: Experience with Hadoop, Spark, or other distributed computing systems for large-scale training Machine Learning Techniques: Strong understanding of supervised (decision trees, random forests, boosting, etc.) and unsupervised ML techniques Experience and Qualifications Masters or Bachelors degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering Minimum 2+ years of relevant experience with a proven track record of developing ML solutions. Life At Zeta At Zeta, we want you to grow to be the best version of yourself by unlocking the great potential that lies within you. This is why our core philosophy is People Must Grow. We recognize your aspirations; act as enablers by bringing you the right opportunities, and let you grow as you chase disruptive goals. #LifeAtZeta is adventurous and exhilarating at the same time. You get to work with some of the best minds in the industry and experience a culture that values the diversity of thoughts. If you want to push boundaries, learn continuously and grow to be the best version of yourself, Zeta is the place to be! Explore the life at zeta Zeta is an equal opportunity employer. At Zeta, we are committed to equal employment opportunities regardless of job history, disability, gender identity, religion, race, marital/parental status, or another special status. We are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the roles and responsibilities.

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. Your responsibilities include analyzing large datasets, discovering patterns and trends, and creating data visualizations to effectively communicate findings to stakeholders. It is essential to have a solid understanding of statistical analysis, proficiency in programming languages such as Python or R, and experience with data visualization tools like Tableau or Power BI. Collaboration with cross-functional teams is a key aspect of this role as you design and implement predictive models, evaluate performance, and refine algorithms to enhance accuracy. You will be involved in the development and maintenance of analytics tools, preparing detailed reports, and staying updated with the latest advancements in AI and analytics technologies. Additionally, training team members on data analytics best practices, facilitating workshops, and supporting data-driven decision-making are vital responsibilities. To excel in this position, you must possess a Master's degree in Data Science, Computer Science, Statistics, or a related field, along with proven experience in predictive analytics and machine learning. Hands-on experience with SQL, database management, and big data technologies like Hadoop and Spark is advantageous. Strong problem-solving skills, project management abilities, and effective communication skills for presenting technical concepts are essential. Adaptability to changing priorities, managing multiple projects simultaneously, and familiarity with data cleaning and preprocessing techniques are also required. Overall, as the AI and Predictive Analytics Specialist, you will contribute significantly to the organization's data-driven strategy, foster a culture of continuous improvement through data insights, and support strategic initiatives with data-driven recommendations. Your expertise in data visualization, statistical analysis, machine learning, predictive analytics, data mining, and team collaboration will be instrumental in driving business solutions and enhancing operational efficiency.,

Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. Daily/ weekly/ monthly Research activities: Data mining and understand the reasons for Quality Defects Prepare and publish daily/ weekly/ monthly reports on inventory quality (Large adjustments/Customer quality Defects/Process compliance Audit) Conduct daily training and also will be responsible to conduct daily skill huddles Quality Feedback to associates Stand-in for Process Associate and the Area Manager Bachelors degree Speak, write, and read fluently in English Experience with Microsoft Office products and applications 1+ years of manufacturing or customer-facing environment experience

Role Overview: As a Professor at International Center for Education and Research (ICER), VIT Bangalore , you play a key role in academic instruction, curriculum development, research project guidance and student mentorship. Your expertise in Database Management Systems, Web Application Development, Machine Learning, Data Mining, Deep Learning, Big Data Analytics, Probability and Statistics, and R Programming contributes to fostering an innovative and research-driven learning environment. You are also instrumental in guiding students in the 1+1 masters overseas program , helping them prepare for international academic opportunities. Key Responsibilities: Teaching & Curriculum Development Deliver lectures and hands-on sessions for Probability and Statistics, Database Management Systems, Machine Learning, Data Mining, Deep Learning , Big Data Analytics, and R Programming , incorporating Minitab, MYSQL, scikit-learn, TensorFlow, Hadoop, and PySpark . Design, update, and refine course syllabi to align with industry trends, research advancements, and partner university requirement. Develop and evaluate assignments, projects, and examinations for postgraduate students. Research Innovation Lead and collaborate on research projects with a focus on Artificial Intelligence, Data Science and Business Analytics Guide research projects and mentor Post Graduate Programme student Academic Leadership & Student Mentorship Serve as a mentor for students in the 1+1 masters overseas program , guiding them on research, coursework, and study-abroad applications . Provide Guidance and Exposure to students aspiring for higher education and research roles. Develop innovative assessment strategies that encourage critical thinking and problem-solving. Skills & Tools: Programming & Software Development: Back-end Development: Node.js, Express.js, PHP, Django, Flask Front-end Development: HTML, CSS, JavaScript, React.js, Bootstrap, Tailwind CSS Databases: MySQL, PostgreSQL, MongoDB, Firebase Cloud & Deployment: AWS, Google Cloud, Docker, Kubernetes Data Science & AI: Explainable AI, Deep Learning, Computer Vision, Ensemble Learning Python (scikit-learn, TensorFlow, PyTorch), R (ggplot, dplyr) Data visualization libraries (Matplotlib, Seaborn, D3.js) Big Data & Statistical Analysis: Hadoop, PySpark, Regression Modeling, Hypothesis Testing, Bayesian Statistics Minitab, SQL query optimization, data pipeline development Statistical Analysis: Minitab, Bayesian Statistics, Regression Modeling, Hypothesis Testing. Teaching & Mentorship: Curriculum design, research supervision, collaboration.

The Opportunity As a Business Analyst at Nutanix, your role would involve utilizing your strong knowledge on Data Insights/Analytics to support the business in meeting their common goals. You would be responsible for identifying opportunities to increase productivity and improve operational efficiency across various teams within the organization. What makes this role interesting and unique is the opportunity to collaborate with different business units and align with their specific logic and filters. This role is essential in helping Nutanix achieve its mission and drive success. Sales Operations at Nutanix The Data Analytics & Reporting team at Nutanix is a highly impactful team spread across Mexico, Belgrade, and India. Despite their size, they have achieved remarkable successes. What sets them apart is their ability to leverage data effectively to drive decision-making and provide valuable insights to the organization. Joining this team means making a significant contribution within a global and dynamic environment. Your Role Identify opportunities to increase productivity and improve operational efficiency across RevOps (like Deal Desk, Order Management, Sales Comp, Shared Services etc. , line of business). Ability to synthesize business problems into strategic and actionable insights. Drive to understand business context, needs, and translate them into analytical solution. Collect functional and application data requirements from teams. Integrate standard methodologies in each application development, data visualization and process flow. Use external databases to create analysis solutions. Create various ad hoc reports as needed. You will ensure that the work is organized with clear outcomes, deliverables, and timelines. You will investigate, report, and where possible, address data issues. Develop process documentation and departmental procedures. Support access application with Postgres SQL Server backend Develop reports & dashboards which can help the teams to meet their day-to-day business needs. Execution of new assignments and projects collaborating with team members by providing them necessary technical support What You Will Bring Strong knowledge on Tableau dashboard development Strong knowledge of SQL for creating reports is required Ability to provide strategic business guidance and expertise through data visualization, data mining and storytelling supported with data best practice Familiar with ODBC environment Experience in creating Excel reports and Dashboards merging data for diverse data sources Solid attention to detail, excellent time management and organizational skills Attention to detail and strong interpersonal skills and able to work in fast, paced, high volume of data Ability to communicate complex ideas verbally and through documentation Experience working in an onshore offshore model with teams from different time zones and cultures About the Team Team: We re looking for an individual to take ownership of our data analytics completeness, effectiveness and impact and provide insights to RevOps leaders. You will collaborate with many internal teams, such as Product Managers, Deal Desk, Order Management, Sales Comp, Data Platform, and Sales BI, to gather KPIs and provide analytical solutions. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment. How we work This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager. -- .

As a Data Scientist within the People Analytics team, you will lead and contribute to all phases of workforce analytics projects from data acquisition and modeling to advanced analysis and implementation. Your work will directly support strategic decision-making across the employee lifecycle by uncovering actionable insights from complex, large-scale people data. Key Responsibilities Design and build robust data models to support workforce planning, talent management, and organizational effectiveness. Apply machine learning (ML) and artificial intelligence (AI) techniques to identify patterns and predict outcomes related to employee engagement, retention, and performance. Conduct advanced data mining and pattern analysis to surface trends and anomalies in workforce behavior and organizational dynamics. Collaborate with cross-functional teams including HRBPs, IT, and business leaders to implement data-driven solutions into products and service offerings. Ensure data integrity, privacy, and ethical use of employee data in all analytics initiatives. Qualifications University degree in a quantitative field (e. g. , Statistics, Computer Science, Economics, Psychology) or equivalent combination of education and experience. Minimum 6 years of experience in data science, preferably with a focus on people analytics or HR-related domains. Proficiency in Python, R, SQL, and data visualization tools (e. g. , Power BI, Tableau). Experience with cloud-based data platforms and ML frameworks. Strong communication skills and the ability to translate complex findings into business-relevant insights.

Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and work-at-home programs, ensure flexibility and broad reach. Why Choose Teleperformance? We emphasize the importance of our employees, fostering enduring relationships within our teams and communities. Our dedication to employee satisfaction distinguishes us. Utilize advanced support technologies and processes engineered to achieve outstanding results. We cultivate lasting client relationships and make positive contributions to our local communities. Become Part of an Exceptional Team! Join Teleperformance, where our world-class workforce and innovative solutions drive success. Experience a workplace that values your development, supports your goals, and celebrates your accomplishments. Job Description Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (eg, Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes. Positions on this level have comprehensive knowledge of the specific discipline or the broader area in which the position operates. Executes specialized projects and activities and typically works according to set principles. Usually generates and initiates own workload and doesnt need instructions or guidelines. Might supervise work of less experienced professionals providing professional expertise and taking responsibility for the end-product. Positions at this level are expected to significantly improve the day-to-day activities/processes. Manages and oversees the implementation of short-term activities within the team. Decisions are of an operational nature within a defined scope. Positions on this level delivers their share of professional responsibilities focusing on professional excellence. Typically manages a team of Individual Contributor co-workers.

Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and work-at-home programs, ensure flexibility and broad reach. Why Choose Teleperformance? We emphasize the importance of our employees, fostering enduring relationships within our teams and communities. Our dedication to employee satisfaction distinguishes us. Utilize advanced support technologies and processes engineered to achieve outstanding results. We cultivate lasting client relationships and make positive contributions to our local communities. Become Part of an Exceptional Team Join Teleperformance, where our world-class workforce and innovative solutions drive success. Experience a workplace that values your development, supports your goals, and celebrates your accomplishments. Job Description Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (eg, Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes. Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

Join Teleperformance Where Excellence Meets Opportunity! Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and work-at-home programs, ensure flexibility and broad reach. Why Choose Teleperformance? We emphasize the importance of our employees, fostering enduring relationships within our teams and communities. Our dedication to employee satisfaction distinguishes us. Utilize advanced support technologies and processes engineered to achieve outstanding results. We cultivate lasting client relationships and make positive contributions to our local communities. Become Part of an Exceptional Team! Join Teleperformance, where our world-class workforce and innovative solutions drive success. Experience a workplace that values your development, supports your goals, and celebrates your accomplishments. Job Description Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (eg, Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes. Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

Applied data science research to fight spam, scam and fraud attacks in SMS, MMS, e-mail and other mobile telecommunication protocols Helping mobile network operators worldwide in localization, identification, monetization and prevention of spam and fraud attacks Big Data analysis of Voice/SMS/MMS traffic (>100 million messages per day) Data cleaning and preprocessing (data wrangling), exploratory analysis, statistical analysis Machine learning, data mining, text mining in different languages Data visualization and presentation Uncovering activities of organized groups of spammers and fraudsters Researching new fraud techniques and designing algorithms for their detection and prevention Monitoring and preventing virus and malware distribution vectors in SMS/MMS Presenting results to customers, leading discussions about findings and best approaches to manage the fraud attacks . Key Responsibilities What will you work with Statistical tools - R-studio, python Mavenir s solution for identification of fraud and spam in mobile networks Unique data sets (Voice/SMS/MMS/RCS communication from all around the world) State of the art fraud detection algorithms Core mobile network systems and technologies Linux OS Big data tools - Spark, ElasticSearch/OpenSearch, Kafka Data science and machine learning tooling - NumPy, SciPy, MLlib Job Requirements What we expect you already know/have Practical experience with statistical analysis or Business Intelligence Scripting languages (for example R, bash, python, perl, lua or similar) Data visualization and reporting Critical thinking and strong problem-solving skills Curiosity and willingness to learn new things Working proficiency in English We appreciate you already know/have - Machine learning and Linux

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. The primary responsibility of this role is to effectively manage and analyze large volumes of data, with the aim of extracting valuable insights. The ideal candidate should possess exceptional analytical skills, as well as the ability to manipulate and interpret complex datasets using a variety of technologies, including programming languages. Additionally, the candidate should be able to foster strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. About the Role Key Requirements: Data Analysis: Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. Data Validation, Cleaning and Preprocessing: Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity Data Visualization: Present findings in a clear and concise manner through the use of charts, graphs, and other visualizations. Enable users to easily understand and interpret the data through effective visual representations. Ad-hoc Data Analysis: Conduct ad-hoc data analysis to provide actionable recommendations to stakeholders. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. Collaboration: Collaborate closely with cross-functional teams, including business analysts, data engineers, and data scientists, to understand their requirements and provide data-driven solutions. Foster effective teamwork and communication to deliver optimal outcomes. Storytelling : Generate insights from the data and communicate them to the key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on the processes, products or business. Documentation: Develop and maintain documentation related to data analysis processes and procedures. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. Continuous Improvement: Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, ensuring they align with industry best practices. Essential Requirements: Strong analytical skills with the ability to manipulate and interpret large datasets. Knowledge of statistical techniques and data mining algorithms. Proficiency in programming languages (example - Python language). Strong SQL with aptitude for learning other analytics tools Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. Effective communication skills to present findings to both technical and non-technical stakeholders Desirable Requirements: 7+ years eextensive experience in Data and/or Business Analytics. candidates with a background in Financial Data Analytics will be an added advantage Bachelor s or Master s degree in a relevant field such as mathematics, statistics, economics, or computer science. strong written and verbal communication skills

Come build the future with us. What unites all Amazonians across teams and geographies is that we all strive to delight Customers and make their lives easier. Together we are building the future, one innovative product, service, and idea at a time. We are looking for a motivated individual to join the India Removals Supply Chain team and build innovative solutions for our vendors & liquidators with the help of data driven critical thinking. We are looking for a candidate who can drive below: 1. To be part of a high intensity seller inventory management team owning end to end responsibility for order creation, tracking and reporting. 2. Using data insights to identify and build automated solutions for manual processes 3. Support manual processes requiring automation 4.Suggest and drive process improvements and programs 5. Pre-empt and build dashboards to measure execution success of programs 6. Use analytical thinking to investigate vendor disputes, identify process gaps and aid decision making. 7. Build automated reports with minimal / no person dependencies Responsibilities Include: The role will be responsible to deliver automation projects in Inventory Health organization. Provide data and analytics to the inventory health team for measuring performance metrics An ideal candidate will demonstrate strong deep dive, invent & simplify and end-to-end ownership of project delivery Person should be strong in modular approach to problem solving and break down complex situations to simple problem statements -Manage engagement with senior stakeholders across multiple teams -Manage, track and report on inventory availability, order creation, cancellations -Manage disputes and follow through with cross functional teams for reconciliation -Own and launch new initiatives to improve vendor, liquidator and seller experience -Weekly operational metrics review and financial reporting Work on shifts including weekend shifts as per policy A day in the life Require a person who is flexible on shift and willing to support on weekend/rotational shifts. Bachelors degree Speak, write, and read fluently in English Experience with Microsoft Office products and applications Working level knowledge of SQL and Advanced Excel Good written and verbal communication skills with the ability to present complex information in a clear and concise manner to a variety of audiences. Advanced experience of databases in a business environment with large-scale, complex datasets and Visualization. Working knowledge of data mining using SQL, ETL, data warehouse as well as Excel.

Software Engineering Analyst Position Overview The job profile for this position is Software Engineering Analyst, which is a Band 2 Contributor Career Track Role. Excited to grow your career We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We are looking for an engineer to work within our Mainframe PBM Technology organization who is open to learning new technology and has experience writing COBOL, CICS, DB2, VSAM, JCL, SQL modules. In this role you will support the team and gain exposure to the full software lifecycle of design, development, testing, and support for technical delivery. This role requires working with both onsite (Scrum Master, Product, QA and Developers) and offshore QA team members in properly defining testable scenarios based on requirements/acceptance criteria. Responsibilities Delivers specific delegated tasks assigned by a supervisor in the Engineering job family, supporting the full software lifecycle of design, development, testing, and support for technical delivery. Designs, develops and implements standardized methods, processes and systems using COBOL, CICS, DB2, VSAM, JCL skills and data mining tools. Works with both onsite (Scrum Master, Product, QA and Developers) and offshore QA team members in properly defining testable scenarios based on requirements/acceptance criteria. Completes day-to-day Information Management tasks without immediate supervision but has ready access to advice from more experienced team members. Tasks involve a degree of forward planning and anticipation of needs/issues. Participate in daily team standup meetings where youll give and receive updates on the current backlog and challenges. Qualifications Required Skills: Experience writing COBOL, CICS, DB2, VSAM, JCL, SQL Knowledge of agile software development life cycle methodology. Prior industry experience (Pharmacy, Healthcare, etc. ) preferred. Must have good analytical and problem solving skills. Must have good communications skills both verbal and written. Required Experience & Education: 1-3 years of experience 1+ years of experience in developing Mainframe applications utilizing COBOL, CICS, DB2, VSAM. High School diploma or equivalent required. College degree preferred, but not required. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH) About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

As a PM I in AMXL Supply Chain team, you will have the opportunity to solve business and customer centric problems to improve the efficiency/cost and speed of fulfilment for the Heavy & Bulky channel. In this role you will partner with stakeholders across business and operations verticals, to solve complex technical problems preferably with simple but scaleable solutions. Supply Chain managers are take customer anecdotes seriously, are data driven, create & leverage mechanisms to create scalable solutions that eliminate ambiguities. They are comfortable working in teams having advanced analytical, mathematical, and quantitative requirements. Basic qualifications 1.At least 4 years of experience in a top tier company driving programs or projects. 2.Supply Chain background preferable but not mandatory. We hire for core skills, not specializations. 3.Bachelor s degree in Computer Science, Physics, Mathematics, Statistics, Engineering, or similar. 4.Ability to grasp the operational concepts of customer order flow across all miles with different volume and demand patterns. 5.Able to manage a business that operates 24/7 and commit the time required to get the job done. 6.Business analysis and partnership across Amazon with AFT, SME and Operations leaders to develop new operating opportunities. 7.Regularly monitor performance markers drive continuous improvement to optimize process consistency, cost and customer experience. 8.Ability to deal with ambiguity, take high confidence assumptions or seek help/elevate discussions wherever required to deliver results. 9.Ability to back-up narratives and decisions with data. 10.High degree of ownership, self-motivated and have backbone to stand-up for what is right vs. what is easy/comfortable. Able to function independently with limited guidance. 11.You should be able to deal with varied stakeholders and earn their trust. You should have the ability to influence stakeholders upto +1 level without authority and do so by using data and facts. 12.Working knowledge of data mining using SQL, ETL, data warehouse as well as Excel. Preferred qualifications 1. Strong presentation skills. Ability to independently present narratives and take Qs from stakeholders in open forums. 2.Proficiency in VBA Macro, Quicksight/related dashboard tools, Python, R etc. 3. You should have excellent written communication skills data oriented & brevity being key words in your style of writing. 4. Direct work experience in e-commerce, warehousing or delivery station operations. Bachelors degree or equivalent 2+ years of program or project management experience

As a Subject Matter Expert in the healthcare domain based in Pune, you will be responsible for performing clinical data mining from various health systems and transforming it into a normalized form. Your key responsibilities will include understanding and performing data exploration and data mining of healthcare clinical and claims data. You should have a good understanding of EHR database mapping, data structure, clinical documentation structure, and HIPAA regulations. Working closely with internal teams, stakeholders, and customer contacts to implement operational processes for project delivery will be essential. Additionally, you will be expected to understand large-scale hospital datasets/warehouses, organize, collect, and standardize data, as well as study current applications and processes to build a knowledge repository and contribute to process enhancement. The ideal candidate should have 3-5 years of experience in the US Healthcare domain in EHR data migration/implementation or healthcare application integration. Hands-on experience in SQL query development, Linux, Python, and/or R is required, along with knowledge of cloud platforms. Possessing good interpersonal and communication skills is a must-have for this role. Experience in hospital EHR implementation and migration, as well as understanding of HIS & EHRs like Allscripts, Athena, and eCW, would be a nice-to-have. Familiarity with healthcare terminologies, standards, and applications like EMR/EHR, LIS, Code Systems (e.g., SNODMED, CPT & Diagnosis Code, NDC, LOINC) is advantageous. Knowledge of tools like JIRA, Confluence, and Service Desk is preferred. To qualify for this position, you should be a graduate or equivalent with experience in recognized global IT services/consulting companies in the healthcare domain. Please note that the job description is subject to change based on the company's requirements and your future competencies and qualifications.,

You should possess proficient skills in configuring and troubleshooting various routers, switches, firewalls, and wireless controller models, with expertise particularly in Fortinet, Cisco, and Palo Alto. Your experience with data mining and analysis will be valuable in this role. Basic familiarity with cloud security principles for AWS, Azure, and/or GCP is advantageous. Additionally, having basic knowledge of MS PKI and Public CA provisioning solutions such as DigiCert is advantageous. This is a job opportunity for both Permanent and Contractual / Temporary positions. The contract length for this role is 12 months. As part of the benefits package, you will have access to health insurance and a Provident Fund. The work schedule for this role includes Day shift, UK shift, and US shift. The work location is on-site.,

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Supply Chain Data Integration Consultant Senior The opportunity We're looking for Senior Level Consultants with expertise in Data Modelling, Data Integration, Data Manipulation, and analysis to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on Data Warehouse Modelling consultant who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs. The ideal candidate must have a good understanding of the value of data warehouse and ETL with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your key responsibilities A minimum of 5+ years of experience in BI/Data integration/ETL/DWH solutions in cloud and on-premises platforms such as Informatica/PC/IICS/Alteryx/Talend/Azure Data Factory (ADF)/SSIS/SSAS/SSRS and experience on any reporting tool like Power BI, Tableau, OBIEE, etc. Performing Data Analysis and Data Manipulation as per client requirements. Expert in Data Modelling to simplify business concepts. Create extensive ER Diagrams to help business in decision-making. Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using data integration technologies. Should be able to develop sophisticated workflows & macros (Batch, Iterative, etc.) in Alteryx with enterprise data. Design and develop ETL workflows and datasets in Alteryx to be used by the BI Reporting tool. Perform end-to-end Data validation to maintain the accuracy of data sets. Support client needs by developing SSIS Packages in Visual Studio (version 2012 or higher) or Azure Data Factory (Extensive hands-on experience implementing data migration and data processing using Azure Data Factory). Support client needs by delivering Various Integrations with third-party applications. Experience in pulling data from a variety of data source types using appropriate connection managers as per Client needs. Develop, Customize, Deploy, maintain SSIS packages as per client business requirements. Should have thorough knowledge in creating dynamic packages in Visual Studio with multiple concepts such as - reading multiple files, Error handling, Archiving, Configuration creation, Package Deployment, etc. Experience working with clients throughout various parts of the implementation lifecycle. Proactive with a Solution-oriented mindset, ready to learn new technologies for Client requirements. Analyzing and translating business needs into long-term solution data models. Evaluating existing Data Warehouses or Systems. Strong knowledge of database structure systems and data mining. Skills and attributes for success Deliver large/medium DWH programs, demonstrate expert core consulting skills and an advanced level of Informatica, SQL, PL/SQL, Alteryx, ADF, SSIS, Snowflake, Databricks knowledge, and industry expertise to support delivery to clients. Demonstrate management and an ability to lead projects or teams individually. Experience in team management, communication, and presentation. To qualify for the role, you must have 5+ years ETL experience as Lead/Architect. Expertise in the ETL Mappings, Data Warehouse concepts. Should be able to design a Data Warehouse and present solutions as per client needs. Thorough knowledge in Structured Query Language (SQL) and experience working on SQL Server. Experience in SQL tuning and optimization using explain plan and SQL trace files. Should have experience in developing SSIS Batch Jobs Deployment, Scheduling Jobs, etc. Building Alteryx workflows for data integration, modeling, optimization, and data quality. Knowledge of Azure components like ADF, Azure Data Lake, and Azure SQL DB. Knowledge of data modeling and ETL design. Design and develop complex mappings, Process Flows, and ETL scripts. In-depth experience in designing the database and data modeling. Ideally, you'll also have Strong knowledge of ELT/ETL concepts, design, and coding. Expertise in data handling to resolve any data issues as per client needs. Experience in designing and developing DB objects such as Tables, Views, Indexes, Materialized Views, and Analytical functions. Experience of creating complex SQL queries for retrieving, manipulating, checking, and migrating complex datasets in DB. Experience in SQL tuning and optimization using explain plan and SQL trace files. Candidates ideally should have ideally good knowledge of ETL technologies/tools such as Alteryx, SSAS, SSRS, Azure Analysis Services, Azure Power Apps. Good verbal and written communication in English, Strong interpersonal, analytical, and problem-solving abilities. Experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and High- and Low-level design documents. Candidates having additional knowledge of BI tools such as PowerBi, Tableau, etc will be preferred. Experience with Cloud databases and multiple ETL tools. What we look for The incumbent should be able to drive ETL Infrastructure related developments. Additional knowledge of complex source system data structures preferably in Financial services (preferred) Industry and reporting related developments will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries. What working at EY offers At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching, and feedback from some of the most engaging colleagues around. Opportunities to develop new skills and progress your career. The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Lead PowerBI Engineer, you will be responsible for working primarily with Power BI & Qlik Sense along with other Business Intelligence tools such as Tableau, Micro Strategy, Alteryx, or similar visualization technologies to present complex data in an easily digestible format. Your role will involve utilizing your experience in data analysis and writing SQL/MYSQL Workbench queries using joins, unions, and analytical functions. You will be expected to perform data management, mining, and manipulation tasks, utilizing SQL for data manipulation purposes. Additionally, your responsibilities will include BI solutioning to design, develop, and maintain user-friendly data visualizations and dashboards using complex datasets from various sources in Business Intelligence Tools. Collaboration with stakeholders to understand requirements and deliver comprehensive BI Solutions will be a key aspect of your role. You will also be required to connect Power BI to diverse data sources like Databricks, Oracle, and SharePoint, and design data models to facilitate complex data analysis. Using Dax & Power Query for advanced data analysis and creating calculated columns, measures & tables will be part of your routine tasks. Furthermore, you will develop Power BI models for report creation and dashboards, as well as create and execute manual or automated test cases and analyze the test results. Migration of dashboards from Qlik Sense to Power BI and working closely with fellow developers and project leads to coordinate tasks & deliverables are also part of your responsibilities. Your expertise should include the ability to work on multi-relational database structures, with a strong background in the Oracle Database environment, SQL, and PL/SQL programming. Designing and troubleshooting complex queries, stored procedures, functions, views, indexes, constraints, unions, joins, and similar development tasks will be part of your daily activities. Moreover, contributing to architecture, database design, and query optimization, as well as reviewing the database architecture of the product to achieve the required technical outcome, will be expected from you. Experience in Data Lake systems using AWS cloud technologies, particularly Data bricks, will be advantageous. Your role will also involve extensive data modeling and metadata experience, specifically designing logical models and data dictionaries based on business requirements and reverse-engineering. Hands-on experience in contributing to data/application architecture & designs, software/enterprise integration design patterns, and full-stack knowledge, including modern distributed front-end and back-end technology stacks, will be beneficial. Finally, you will be responsible for refining the product based on feedback, ensuring the continuity of accuracy and functionality, debugging applications, tracing code, and finding and fixing bugs to maintain the integrity and performance of the systems you work on.,

As a Python Developer at Innefu Lab, you will play a crucial role in the software development life cycle, contributing from requirements analysis to deployment. Working in collaboration with diverse teams, you will design and implement solutions that align with client requirements and industry standards. Your responsibilities encompass various key areas: Software Development: You will be responsible for creating, testing, and deploying high-quality Python applications and scripts. Code Optimization: Your role involves crafting efficient, reusable, and modular code while enhancing existing codebases for optimal performance. Database Integration: You will integrate Python applications with databases to ensure data integrity and efficient data retrieval. API Development: Designing and implementing RESTful APIs to enable seamless communication between different systems. Collaboration: Working closely with UI/UX designers, backend developers, and stakeholders to ensure effective integration of Python components. Testing and Debugging: Thoroughly testing applications, identifying and rectifying bugs, and ensuring software reliability. Documentation: Creating and maintaining comprehensive technical documentation for code, APIs, and system architecture. Continuous Learning: Staying updated on industry trends, best practices, and emerging technologies related to Python development. Required Skills: - Proficient in Python, Django, Flask - Strong knowledge of Regular Expressions, Pandas, Numpy - Excellent expertise in Web Crawling and Web Scraping - Experience with scraping modules like Selenium, Scrapy, Beautiful Soup, or URLib - Familiarity with text processing, Elasticsearch, and Graph-Based Databases such as Neo4j (optional) - Proficient in data mining, Natural Language Processing (NLP), and Optical Character Recognition (OCR) - Basic understanding of databases - Strong troubleshooting and debugging capabilities - Effective interpersonal, verbal, and written communication skills - Ability to extract data from structured and unstructured sources, analyze text, images, and videos, and utilize NLP frameworks for data enrichment - Skilled in collecting and extracting intelligence from data, utilizing regular expressions, and extracting information from RDBMS databases - Experience in web scraping frameworks like Scrapy for data extraction from websites Join us at Innefu Lab, where innovative offerings and cutting-edge technologies converge to deliver exceptional security solutions. Be part of our dynamic team driving towards excellence and growth in the cybersecurity domain.,