analytics analyst

Citi

<div>The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job. 
 
Responsibilities:<ul><li>
Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies</li><li>
Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes</li><li>
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques</li><li>
Incumbents in this role may often be referred to as Data Scientists</li><li>
Specialization in marketing, risk, digital and AML fields possible</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul> 
Qualifications:<ul><li>
1-3 years of experience</li><li>
Proficiency in coding using Python &amp; Pyspark</li><li>
Good understanding of Machine learning concepts and experience in implementing the same in real world problems</li><li>
Exposure to Gen AI tools and techniques</li><li>
Previous related experience preferred</li><li>
Possess analytic ability and problem solving skills</li><li>
Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment</li></ul> 
Education:<ul><li>
Bachelors/University degree or equivalent experience</li></ul> 
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
-
Job Family Group:
Decision Management
-
Job Family:
Specialized Analytics (Data Science/Computational Statistics)
-
Time Type:
Full time
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

Spec Analytics Analyst

Deutsche Bank

<div><h2 class="jobSectionHeader">Job Description:
</h2>Job Title: Analytics Analyst, AS
Location: Bangalore, India
Role Description
Analytics is responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business.
Work includes:
<ul><li>Defining data requirements, data collection, processing, cleaning, analysis, modelling, visualisation, development of analytical toolkit and research techniques
</li><li>Examining and identifying data patterns and trends to help answer business questions and improve decision making
</li><li>Identifying areas to increase efficiency and automation of data analysis processes
</li><li>Providing business functions with data insights to help them achieve their strategic goals. Where the roles have a specific focus on Data Science, work will predominantly focus on:
</li><li>Creating data mining architectures/models/protocols, statistical reports, and data analysis methodologies to identify trends in large data sets
</li><li>Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
</li><li>Representing the bank as a data science practitioner in industry initiatives
</li><li>At higher career levels, they may conduct scientific research projects with the goal of breaking new ground in data analytics
</li></ul>What we&rsquo;ll offer you
As part of our flexible scheme, here are just some of the benefits that you&rsquo;ll enjoy
<ul><li>Best in class leave policy
</li><li>Gender neutral parental leaves
</li><li>100% reimbursement under childcare assistance benefit (gender neutral)
</li><li>Sponsorship for Industry relevant certifications and education
</li><li>Employee Assistance Program for you and your family members
</li><li>Comprehensive Hospitalization Insurance for you and your dependents
</li><li>Accident and Term life Insurance
</li><li>Complementary Health screening for 35 yrs. and above
</li></ul>Your key responsibilities
Programming &amp; Scripting:
<ul><li>Strong Python programming skills for data analysis, automating tasks and building custom solutions.
</li><li>Strong SQL knowledge
</li><li>Experience with shell Alteryx and Tableau and added advantage.
</li></ul>Data Analysis &amp; Interpretation:
<ul><li>Ability to identify trends, patterns, and insights from data.
</li><li>Strong analytical and problem-solving skills.
</li></ul>Data Preparation &amp; Transformation:
<ul><li>Proficiency in data cleansing, transformation, and integration from various sources.
</li><li>Experience with data wrangling, including handling missing values, outliers, and data type conversion.
</li></ul>Data Visualization &amp; Reporting:
<ul><li>Ability to communicate insights effectively through data storytelling.
</li><li>Expertise in creating interactive dashboards, visualizations, and reports.
</li></ul>Communication &amp; Collaboration:
<ul><li>Ability to clearly communicate findings and recommendations to both technical and non-technical audiences.
</li><li>Ability to work effectively in a team environment.
</li></ul>Tools Mentioned:
<ul><li>Python: For coding, advanced analytics, reporting, visualization and automation.
</li><li>SQL : Advanced for data extraction, manipulation, integration
</li><li>Alteryx: For data preparation, transformation, and integration.
</li><li>Tableau: For data visualization and reporting.
</li></ul>Your skills and experience
<ul><li>5-8+ years of proven experience in developing and working on Python
</li><li>A solid understanding of SQL, relational database management system, data modeling
</li><li>Experience working on Alteryx and Tableau an added advantage
</li><li>Strong communication skills.
</li><li>Attention to detail and accuracy.
</li></ul>How we&rsquo;ll support you
<ul><li>Training and development to help you excel in your career
</li><li>Coaching and support from experts in your team
</li><li>A culture of continuous learning to aid progression
</li><li>A range of flexible benefits that you can tailor to suit your needs
</li></ul>About us and our teams
Please visit our company website for further information:
https://www.db.com/company/company.htm
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
<div><div><div><div>Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.</div></div></div></div></div>

Analytics Analyst, AS

Inova Health System

<div>Inova People Analytics is looking for a dedicated Sr. HR Analytics Analyst to support our Talent Acquisition function. This remote role will be full-time day shift working Monday - Friday.
The Sr. HR Analytics Analyst is responsible for collecting, analyzing, reporting and interpreting data for use in the development of HR business strategies and insightful story telling. Primary responsibilities encompass Business Requirements Identification, Data Exploration and Data and Analytics Strategy.
Inova is consistently ranked a national healthcare leader in safety, quality and patient experience. We are also proud to be consistently recognized as a top employer in both the D.C. metro area and the nation.
Featured Benefits:
<ul><li>Committed to Team Member Health: offering medical, dental and vision coverage, and a robust team member wellness program.
</li><li>Retirement: Inova matches the first 5% of eligible contributions &ndash; starting on your first day.
</li><li>Tuition and Student Loan Assistance: offering up to $5,250 per year in education assistance and up to $10,000 for student loans.
</li><li>Mental Health Support: offering all Inova team members, their spouses/partners, and their children 25 mental health coaching or therapy sessions, per person, per year, at no cost.
</li><li>Work/Life Balance: offering paid time off, paid parental leave, flexible work schedules, and remote and hybrid career opportunities.
</li></ul>Sr. HR Analytics Analyst Job Responsibilities:
<ul><li>Collects Business Requirements using a variety of methods.
</li><li>Conducts research and selects relevant information to enable analysis of key themes and trends using primary data sources and business intelligence tools. Works without supervision and provides technical guidance when required on acquiring, organizing, protecting, and processing data to fulfill business objectives.
</li><li>Makes recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.
</li><li>Runs advanced and predictive analyses and performs model assessments, validation, and enhancement activities using predictive software tools and functionalities.
</li><li>Prepares and coordinates the completion of various data and analytics reports.
</li><li>Applies hands on methods for streamlining and standardizing data extraction, data transformation and loading of data into business intelligence tools and reporting solutions.
</li></ul>Minimum Qualifications:
<ul><li>Education: Bachelor&rsquo;s Degree in relevant field (or 4 years of experience in lieu of degree)
</li><li>Experience: 6 years of direct experience in data analytics; Prior SQL querying expertise and reporting writing skills
</li><li>This position is eligible for remote work for candidates residing in the following states &ndash; VA, MD, DC, DE, FL, GA, NC, OH, PA, SC, TN, TX, WV
</li></ul>Preferred Qualifications:
<ul><li>Demonstrated experience supporting Talent Acquisition through workforce, recruiting, or talent pipeline analytics.
</li><li>Experience building executive-ready reports and visualizations that tell a clear story about talent acquisition performance and opportunities.
</li><li>Demonstrated experience in human resources, with a focus on HR analytics and data-driven decision-making.
</li><li>Proficiency in utilizing Microsoft Azure for data storage, processing, and analytics.
</li><li>Advanced knowledge of Microsoft Office Suite (Excel, PowerPoint, Word) and other Microsoft productivity tools.</li></ul></div>

Sr. HR Analytics Analyst

Enlyte

<div>Company Overview:
<div>
At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.</div><div></div><div> 
Be part of a team that makes a real difference.</div>
Job Description :
<div>
As a Data &amp; Analytics Analyst Intern, you will support our Casualty Analytics Group's data-driven decision-making process. You will gain hands-on experience extracting, analyzing, and interpreting data to uncover valuable insights that inform business strategies and initiatives. This role offers an excellent opportunity to develop your technical skills while learning about the insurance industry.</div><div></div><div> 
Key Responsibilities:</div><ul><li>
Create compelling data stories that translate complex findings into business recommendations</li><li>
Support cross-functional teams by gathering requirements and helping translate them into data queries
</li><li>Learn and apply principles of data quality management including metadata, lineage, and business definitions</li><li>
Help maintain and document data solutions and analytical tools</li><li>
Collaborate with cross-functional teams to design and develop tools, techniques, metrics, and dashboards for insights and data visualization</li><li>
Participate in team meetings and present findings from assigned analysis projects
</li></ul>Qualifications:
<ul><li>Currently pursuing a Bachelor's or Masters&rsquo;s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or related discipline
</li><li>Expected graduation between Summer 2026 and June 2027</li><li>
GPA of 3.3 or higher</li><li>
Basic proficiency in SQL and Python required; DBT a plus
</li><li>Exposure to data visualization tools (Tableau, Power BI, or similar) is a plus</li><li>
Strong problem-solving skills and intellectual curiosity</li><li>
Ability to communicate technical concepts clearly</li><li>
Interest in learning about the workers' compensation insurance industry</li><li>
Enthusiasm for Data &amp; Analytics and eagerness to learn from experienced professionals</li></ul>
Learn more about our Summer Internship Program: https://careers.enlyte.com/internship
Benefits:
<div>
Compensation depends on the applicable US geographic market. The expected base pay for this position is $35 per hour, and will be based on a number of additional factors including skills, experience, and education.</div><div> 
</div>The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.<div> 
</div><div>Don&rsquo;t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div></div>

Data & Analytics Analyst Intern

Henkel

<div><div><h4 class="jobSectionHeader">About this Position
</h4>The position is part of the Global Business Solution in Cairo (GBS+ Cairo), in the Market Data Solutions Process specifically handling the operation of Reporting &amp; Advanced Data Analyst. 
 
<h4 class="jobSectionHeader">What you&acute;ll do
</h4><ul><li>Execute market, client, and customer reporting, and perform data analysis across key business areas such as market share, brand performance, sales effectiveness, promotions, and pricing.
</li><li>Perform data extraction, processing, and transformation to support reporting and analytics solutions using Excel, VBA, Power Query, KNIME, and Python, sourcing data from multiple systems while ensuring accuracy, quality, and consistency.
</li><li>Design and build data models following best-practice methodologies (e.g., Star Schema, Snowflake Schema).
</li><li>Develop and maintain dashboards and reports using Excel and Power BI, integrating existing and new data sources to deliver clear, actionable insights to stakeholders.
</li><li>Support data preprocessing, analysis, and validation activities to ensure reliable outputs.
</li><li>Participate in projects related to system enhancements, reporting automation, and process improvement initiatives.
</li><li>Proactively share knowledge within the team and contribute to continuous improvement of analytics practices.
</li><li>Support the team in building, optimizing, and troubleshooting Power BI reports and dashboards, including handling large and complex datasets</li>
</ul><h4 class="jobSectionHeader">What makes you a good fit
</h4><ul><li>Bachelor&rsquo;s degree in Business Informatics, Information Systems, Computer Science, or a related field.
</li><li>2&ndash;4 years of relevant experience in data analysis, business analysis, or reporting roles.
</li><li>Fluent in English (written and spoken).</li><li>
Advanced proficiency in Microsoft Office, especially Excel (advanced functions, Power Query, VBA) and PowerPoint.</li><li>
Strong expertise in Power BI, including DAX and data modeling.
</li><li>Solid foundation in databases and data concepts.
</li><li>Preferred experience or knowledge of SQL, Python, KNIME, and/or Alteryx.</li><li>
Strong analytical thinking, problem-solving skills, and the ability to translate data into meaningful business insights.
</li><li>Excellent communication and presentation skills</li></ul>
<h4 class="jobSectionHeader">Some perks of joining Henkel
</h4><ul><li>Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year</li><li>
Diverse national and international growth opportunities</li><li>
Global wellbeing standards with health and preventive care programs</li><li>
Gender-neutral parental leave for a minimum of 8 weeks</li><li>
Employee Share Plan with voluntary investment and Henkel matching shares</li><li>
Comprehensive Health Insurance for employee + dependents</li><li>
Employee Assistance Programme provides a wide range of mental health and wellbeing benefits</li></ul>
At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.</div></div>

Reporting & Advanced Analytics Analyst

<div>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.
-
About CITI
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities.
Citi Analytics and Information Management (AIM)
Citi AIM was established in 2003, and is located across multiple cities in India &ndash; Gurugram, Bengaluru, Chennai, and Pune. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.
What do we do?
The North America Consumer Bank &ndash; Customer Experience (CX) Analytics is a specialized function dedicated to understanding, measuring, and improving the interactions and overall satisfaction of customers across all touchpoints with the bank. In today&rsquo;s competitive financial services landscape, delivering a seamless and positive customer experience is critical for retention, loyalty, and growth. Citibank leverages CXA to ensure that every customer journey&mdash;from opening an account to resolving a dispute&mdash;is as smooth and satisfactory as possible. The team collects, analyzes, and interprets customer feedback and interaction data across channels (phone, online, branch, etc.) to identify pain points, trends, and opportunities for service improvement. The team uses these insights to enhance customer satisfaction, streamline processes, and inform business decisions to improve overall customer experience.
Role Description:
The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Responsibilities:<ul><li>
Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies</li><li>
Identifies and compiles data sets using a variety of tools (e.g. SQL, Python, PySpark) to help predict, improve, and measure the success of key business to business outcomes</li><li>
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques</li><li>
Incumbents in this role may often be referred to as Data Scientists</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul>
Technical Skills:<ul><li>
Hands-on Experience in Python, SQL &amp; Machine Learning (ML) is a must.</li><li>
Experience with PySpark, Natural Language Processing (NLP), Large Language Models (LLM/Gen AI), and prompt engineering is preferred.</li><li>
Writing clean, efficient, and well-documented code according to design specifications and coding standards.</li><li>
Utilizing version control systems (e.g., Git) to manage code changes, collaborate with team members, and maintain code history.</li><li>
Configuring and maintaining automated build processes (e.g., using Jenkins) to compile code, run unit tests, and create deployable artifacts.</li><li>
Ability to execute the code testing in Dev &amp; UAT environments</li><li>
Deploy code pipelines, follow release procedures, verify post-deployment, and troubleshoot production issues, if any.</li><li>
Understand dependencies, design/consume APIs, ensure data flow integrity, resolve integration issues, and maintain architectural awareness.</li><li>
Capability to validate/maintain deployed models in production</li><li>
Candidates with a background in Customer Experience (CX) analytics is preferred.</li><li>
Exposure to Credit card business is a strong plus for this position.</li><li>
Familiarity with the Software Development Life Cycle (SDLC) is preferred.</li><li>
Prior experience of Agile, Sprints deployment cycle is preferred.</li><li>
Experience working and collaborating with multiple stakeholders</li><li>
Experience in leading small teams and global teams</li><li>
Ability to guide and mentor the junior team members.</li></ul> 
Qualifications:<ul><li>
Bachelor&rsquo;s Degree with at least 5 years of working experience OR Master&rsquo;s Degree with 4 years of working experience.</li><li>
Have the ability to retrieve and manipulation data</li><li>
Possess analytic ability and problem-solving skills</li><li>
Working experience in a quantitative field</li><li>
Willing to learn and can-do attitude</li><li>
Excellent communication and interpersonal skills, be organized, detail oriented, flexible, and adaptive to matrix work environment</li><li>
Ability to build partnerships with cross-function leaders</li></ul> 
Education:<ul><li>
Bachelor's / master&rsquo;s degree in economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering etc. from a premier institute</li></ul>
-
Job Family Group:
Decision Management
-
Job Family:
Specialized Analytics (Data Science/Computational Statistics)
-
Time Type:
Full time
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

Customer Experience Analytics Analyst

NatWest Group

<div>Join us as a Data Management - Pulse - Data &amp; Analytics Analyst<ul><li>
This is an opportunity to take on a purpose-led role in a cutting edge Data &amp; Analytics team</li><li>
You&rsquo;ll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose</li><li>
You&rsquo;ll bring advanced analytics to life through visualisation to tell powerful stories and influence important decisions for key stakeholders, giving you excellent recognition for your work</li><li>
We're offering this role at associate vice president level</li></ul><h2 class="jobSectionHeader">
What you'll do</h2>
As a Data Management - Pulse - Data &amp; Analytics Analyst t, you&rsquo;ll be driving the use of advanced analytics in your team to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. You&rsquo;ll be working closely with business stakeholders to define detailed, often complex and ambiguous business problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible.
As well as this, you&rsquo;ll be:<ul><li>
Leading and coaching your colleagues to plan and deliver strategic project and scrum outcomes</li><li>
Planning and delivering data and analytics resource, expertise and solutions, which brings commercial and customer value to business challenges</li><li>
Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with</li><li>
Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics</li><li>
Developing strong stakeholder relationships to bring together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs</li></ul><h2 class="jobSectionHeader">
The skills you'll need</h2>
We&rsquo;re looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages. Along with advanced analytics knowledge, you&rsquo;ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling.
You&rsquo;ll also demonstrate:<ul><li>
Experience building pipelines for a cloud data warehouse using ETL methods, such as PL/SQL and Python, Spark and Pyspark</li><li>
Data quality testing, cleansing, monitoring, warehousing, and modelling capabilities.</li><li>
A good understanding of modern code development practices, skills and experience in cloud technologies including AWS, Snowflake, SQL, and Apache Airflow</li><li>
Strong communication skills with the ability to proactively engage with a wide range of stakeholders</li><li>
Data visualisation skills using tools like QuickSight ,Tableau, Power BI</li></ul></div>

Data Management - Pulse - Data & Analytics Analyst, AVP

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