Data science is opening a plethora of opportunities for millions of data professionals in the global tech market. The data-driven mindset in companies has started providing multiple data analytics consultant jobs as a part of consultancy jobs. Data analytics consultant jobs are also offering a wide range of consultancy jobs such as analytics consultant, analytics technical consultant, utility analytics consultant, and many more. Reputed companies are leveraging data science with a complete focus on data analytics. Thus, the companies are highly interested in offering data analytics consultant jobs with a lucrative salary package per annum. As it is well-known that data science is one of the hottest fields to work in right now, consultancy jobs are in high demand across the world. Let's explore some of the top data analytics consultant jobs in August 2022 to apply for as a part of consultancy jobs.
Location: Bengaluru
Responsibilities: Ensuring accurate valuations and performing independent price verification processes for derivatives, with a focus on FX and commodity derivatives as well as interacting with technology teams to streamline IPV processes.
Qualifications: The candidate must have a Bachelor's/MBA in Finance, Accounting, Statistics, Economics, or Business or CFA/FRM/CQF with 5+ years of experience in one or a combination of the following — valuations, analytics, and financial modeling. It also needs to know about capital markets products, preferably FX, and commodity derivatives.
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Location: Bengaluru
Responsibilities: Evaluating new data sources and datasets to drive innovation in portfolio analysis and model development, influencing the risk strategy through descriptive analytics and presenting recommendations to the business, and developing or maintaining dashboards that give competitive insights.
Qualifications: The candidate must have six years of industry experience with a quantitative background with expertise in visualization tools to build dashboards such as PowerBI, R-shiny, and ML algorithms.
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Location: Bengaluru
Responsibilities: Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques, advanced data from multiple sources, and mathematics behind data analysis across the enterprise. It is essential to provide vision, direction, and expertise to lead in implementing innovative and significant business solutions that align with the enterprise.
Qualifications: The candidate must have experience in Analytics and Reporting, Financial Modeling, Statistics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, and education.
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Location: San Francisco/ Remote
Responsibilities: Lead customer discovery sessions with different business units within a customer's organization and help guide use cases, business requirements, and key performance indicators. It is necessary to create and drive optimization test plans and strategic roadmap using A/B testing, multivariate testing, segment-based targeting, behavioral targeting, and personalization.
Qualifications: The candidate must have a Bachelor's degree with a solid command of how Adobe's technology and other digital marketing technologies and platforms work together to deliver personalization at scale. 4+ years of experience are needed with Adobe Experience Cloud (Analytics, Target, Audience Manager, and/or Campaign), a background in Adobe Experience Platform (Customer Journey Analytics, Real-time CDP, and/or Adobe Journey Optimizer).
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Location: Chennai
Responsibilities: Analysis of customer business metrics, identification of gaps and suggestion of improvements, own and manage onboard, access and data management process, as well as gather business requirements, document and present it to clients for approvals.
Qualifications: The candidate should have worked for Utility industry clients (Electricity Gas or Water) in the past with a strong understanding of the complete data analytics function i.e., Data collection, cleaning and preparation/ data mining/ data modeling/ data analysis.
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Location: Gurugram
Responsibilities: Understanding business processes and potential risk scenarios with the ability to conceptualize appropriate logic for analyzing potential risk scenarios and understand requirements clearly and be flexible in learning new data sources and technologies, meeting tight deadlines, and delivering quality reports for auditors.
Qualifications: The candidate needs to be a Post Graduate in M.Com.\ M.Sc. (IT)\ MBA (IT)\ B.E. with relevant experience in the related field of audit\ business \ and financial analytics. There should be sufficient knowledge of analytical tools such as ACL, Qlikview/Tableau, SQL, and Alteryx.
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Location: Bengaluru
Responsibilities: Work directly with Google's most strategic customers on critical projects to help them transform their businesses, and provide management, consulting, and technical aptitude to customer engagements while working with client executives and technical leaders to deploy solutions via Google's Cloud Platform. It is also required to propose solution architectures and manage the deployment of cloud-based big data and analytics solutions.
Qualifications: The candidate must have a Bachelor's or Master's degree in any technical field with seven years of experience in technical client service and three years of experience in project managing and delivering technical solutions.
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Location: Mumbai
Responsibilities: Manage the implementation of advisory mandates and bespoke data deliveries of ISS ESG Climate Solutions, as well as conduct climate impact analysis of investment portfolios across all asset classes.
Qualifications: The candidate must have a minimum of three to four years of relevant work experience relating to data analytics or climate change with an advanced university degree ideally in environmental science, engineering, or any technical field.
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Location: Mumbai
Responsibilities: Leverage available data to inform HR strategies and deliver key business objectives by using data to answer questions with appropriate statistical tests, hypothesis testing, and understanding of how to leverage insights for various audiences.
Qualifications: The candidate must have a Bachelor's/Master's/ any PG degree in HRM, MBA, Organizational Psychology, Statistics, or related field with three to five years of experience using R, Python, SPSS, etc.
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Location: Multiple
Responsibilities: Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights, creating, managing, and utilizing structured and unstructured data stores, as well as facilitating the use of technology-based tools or methodologies to review, design, and/or implement products and services.
Qualifications: The candidate must have a Master's degree in Finance, Accounting, Information Technology/ CAs / CPAs with mandatory technology like ERP, SQL, data visualization tools knowledge, and two to three experiences in root cause, gap analysis, best fit, requirements gathering, definition development, financial modeling, and value mapping.
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