Lead Product Manager - Data Analytics
By Producto At United States
Strong experience across the entire Product Management lifecycle (product strategy, customer discovery, execution, etc.).
Can help establish best Product Management practices within the organization.
Experience in managing products from inception to launch.
Experience working with complex B2B SaaS products.
They are a fully remote team across the US with flexible working hours.
They also offer unlimited PTO and Health Insurance for you and your family.
[2024 Bachelor's/Master's Graduates] Data Analytics Consulting Analyst/Associate
By Charles River Associates At San Francisco, CA, United States
Excellent time management and task prioritization skills;
Experience with relational database systems such as MS SQL Server or Oracle Database;
Experience in executing data science methodologies using common programming languages, such as Python, R, SAS, VBA, or Scala;
Experience in data visualization using Power BI, Tableau, D3.js, Qlik Sense, HTML/JavaScript;
Experience in cloud-based platforms (e.g. Snowflake, AWS RedShift, Qubole, Azure);
Knowledge of any of the following: Natural Language Processing & Text Mining, Experimental Design, Bayesian Networks, Network/Graph Mining
Data Analyst- Digital Analytics
By INSPYR Solutions At Houston, TX, United States
Strong analytical, organizational and project management skills with excellent verbal and written ability
Work with our experience team to identify data driven opportunities for optimization and improvement
Manage multiple and concurrent projects, and initiatives, keeping them on schedule and within scope
Model and identify trends within the digital experience
2+ years of relevant work experience
Previous experience with Digital Ecommerce Analysis
U.s. Data And Analytics Lead
By LVMH At New York, NY, United States
Master’s degree in business or Computer Science in a top school, or equivalent working experience.
7+ years of Experience working in the field of Data & Artificial Intelligence, preferably in a retail or fashion company.
You have experience in navigating complex organizations, you put in place solid governance schemes and clear decisions processes.
Coordinate the deployment of local use cases with maisons including use case framing, implementation support, and performance measurement.
Publish best practices, playbooks & animate the local community of Data Activation Experts and Business teams.
Explain complex things with simple words, without ever missing the big picture.
Data Analyst I (Healthcare Analytics)
By Fidelis Care At New York, United States

You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you’ll ...

Lead Data Analyst Jobs
By Tech Mahindra At San Francisco Bay Area, United States
5+ years of SQL skills with excellent hands-on exposure to creating complex queries across multiple database schemas
1+ year of experience in at least one programming language for data manipulation (e.g. R, Python, Scala/Spark or Perl, etc.)
Possesses high proficiency in applied statistics skills, such as statistical testing, regression modeling, etc.
3+ years hands-on experience in A/B testing and experimentation with history of arriving at conclusive results
3+ years of experience creating data visualization dashboards in Tableau, Qlik, or equivalent
Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership
Data Analyst Ii - Analytics
By First United Bank At McKinney, TX, United States
Customer Focus: Demonstrate a strong customer-centric mindset and a passion for making data-driven decisions that enhance customer experiences.
Communication Skills: Excellent verbal and written communication skills to effectively present complex concepts to both technical and non-technical stakeholders.
Major Duties And Responsibilities (essential Functions)
Technology: Utilize a diverse range of technologies to analyze small- and large-scale datasets to extract meaningful insights.
Continuous Innovation: Stay updated with the latest advancements in data science, machine learning, and emerging technologies.
Recommends to supervisor possible methods to improve department.
Analyst 3, Enterprise Data Analytics
By Comcast At Philadelphia, PA, United States
Participates in defining business intelligence requirements for projects and data requests.
Other duties and responsibilities as assigned.
Collaborates with both the analytic organization and its technology partners to define and publish complex data products.
Provides training to and acts as technical resource for team members.
Produces a variety of reports, graphs, summaries and presentations that convey analytic results and align with business needs.
Performs basic research on root cause of data anomalies that are uncovered through normal course of analysis.
Lead Data Analyst Jobs
By TIAA At Frisco, TX, United States
Assists with the implementation of data management and reporting practices and policies to support data driven decision making across the organization.
Provides support with the development or modification of currently established data management and reporting processes and procedures to drive efficiency.
Explains facts, policies and practices relating to potential data management and reporting issues to ensure integrity and accuracy of data.
Educate end users on reporting capabilities, and continuously seek reporting enhancements to support evolving requirements
Knowledge of ETL concepts and experience using multiple tools/programming languages (e.g. API's, Snowflake, Tableau, Alteryx etc)
Work with various levels of users to understand business requirements Integrations/Datahub.
Lead Data Analyst Jobs
By Zippy At United States
Strong self-management skills, with a proven ability to manage multiple projects, and prioritize tasks effectively.
Expert knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
Expertise with business intelligence and data visualization tools (e.g., Tableau, Power BI) for dashboard setup and management.
We are a well-funded startup backed by institutional investors with competitive pay, incentive stock options, and excellent benefits
We are a location flexible, remote-first organization with headquarters in Dallas, TX
Establish and implement data standards, monitor data integrity, ensure compliance with relevant regulatory standards, and manage data security and access controls.
Senior Analyst - Data & Analytics
By Louis Dreyfus Company At Memphis, TN, United States
Overall understanding and knowledge of global enterprise data management systems
Project management experience in small to medium size projects being able to report status and potential risks
Management of your solutions/products’ scope, processes, and stakeholders
Provide management with accurate and timely status reports of all projects/scope as assigned
Business rules coding, scripting and BI systems architecture knowledge previous experiences will be considered a plus
Higher Education in IT, Engineering, Math, Physics (others only if with previous proven IT experience
Senior Data Analyst, Product Analytics
By SmartAsset At United States
Skills / Experience You Have
4-8 years of business focused analysis experience in a Data Analyst or Analytical Scientist role.
Strong Python 3 (Pandas, Numpy, etc.), SQL and Excel skills used in a collaborative working environment
MS or Ph.D. in a scientific background (math, physics, chemistry, statistics…) and previous experience in a multidisciplinary working environment
Working experience with writing production code, and using code versioning tools (git)
Knowledge of and curiosity to stay current on industry analytical trends.
Data Analyst – Hr Analytics
By SBA Communications At Boca Raton, FL, United States
0-2 years experience with BI reporting and analysis and project management.
Advanced HRIS experience, knowledge, and proficiency required.
What You’ll Need – Qualifications & Requirements
A unique remote work policy?
May guide and/or assist with performance, benefit, and compensation review and evaluation processes.
0-2 years relevant experience to include progressive complexity in HRIS system administration, maintenance, and reporting.
Lead Data Analyst Jobs
By Zippy At Austin, TX, United States
Strong self-management skills, with a proven ability to manage multiple projects, and prioritize tasks effectively.
Expert knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.).
Expertise with business intelligence and data visualization tools (e.g., Tableau, Power BI) for dashboard setup and management.
We are a well-funded startup backed by institutional investors with competitive pay, incentive stock options, and excellent benefits
We are a location flexible, remote-first organization with headquarters in Dallas, TX
Establish and implement data standards, monitor data integrity, ensure compliance with relevant regulatory standards, and manage data security and access controls.
Senior Manager, Tech Lead - Data & Analytics
By McDonald's At Chicago, IL, United States
Hands-on with Event, Workflow and Application driven Data Architecture. API and Microservices management
Actively manage and drive accountability of 3rd party technology vendors
Manage technical interdependencies and interfaces of their product with other systems and products
Define critical non-functional requirements that sustain throughout the data product lifecycle
Manage temporary solutions and technical debt at the squad level
8+ years of technically focused experience in related technologies and languages (Web Services, Java, XML, S3, NoSQL, Kafka, Spark, etc.)
Data Analyst (Data Analytics)
By HCLTech At Indianapolis, IN, United States
- Good data analysis skills.
We are looking to hire Data Analytics resource at Indianapolis, Indiana office.
- Good at following up and owkring independently.
- Work from the office 100% of the time.
Data Analyst (Learning Analytics And Assessments)
By Cprime, Inc At United States
Schedule Notes: open to fully remote candidates, working PST hours
⦁ 7+ years' experience working in global analytics teams
⦁ Comfort working in and through ambiguity; cross-functional experience is a must
⦁ Strong prioritization skills and ability to find creative solutions
⦁ Strong analytical skills and a deep understanding of statistical and forecasting principles
⦁ Advanced Excel skills and comfort working with Python, R, SQL and related tools
Lead Analyst,Northeast Market Analytics
By National Grid At Boston, MA, United States
Experience with electricity modeling in a consulting, RTO/ISO or corporate work environment;
3+ years of relevant work experience providing quantitative analysis, production cost modeling, capacity expansion modeling and/or consulting;
Knowledge of US power industry structures, policies, regulations & market fundamentals;
Specific knowledge of ISONE and NYISO strongly preferred
Perform electricity system modeling to support investment decisions, business planning & clean energy development opportunities;
Continuously improve in-house electricity market models, and develop frameworks for incorporating model and database updates ensuring they are fit for purpose;
Lead, Portfolio, Data, & Investment Analytics (Insurance Solutions)
By Ares Management Corporation At New York, United States
4+ years of practical experience in portfolio analytics and quantitative support for portfolio management
Excellent problem-solving abilities, intellectual curiosity, hands-on, and experience in understanding and solving complex issues
Enhancing and maintaining investment risk and compliance tools, and providing quantitative support for other investment compliance related responsibilities
Undergraduate and/or advanced degrees in finance, mathematics, engineering and/or computer science preferred
6+ years of quantitative modelling and development experience within a financial services firm, with a focus on insurance companies a plus
SQL, Python, MS Excel / VBA required; experience using GIT, VS Code IDE, WSL, and shell scripting languages (e.g. bash) preferable
Data Analyst, Marketing Analytics
By HopSkipDrive At United States
3+ years of marketing analytics experience across ad efficacy, data science or business intelligence engineering teams within the tech space
Excellent verbal and written communication skills to convey technical concepts and their implications to non-experts with diverse backgrounds
Strong experience developing solutions in SQL, Tableau, Excel.
Applied statistics and mathematics skills: hypothesis testing, regression, classification, optimization, experimental design, or A/B testing
Deep and broad knowledge of ad measurement ecosystem (e.g., lift testing, multi-touch attribution, app install measurement, reach/audience) and industry trends
Experience with causal inference techniques, econometrics, bayesian and/or frequentist hypothesis testing

Are you an experienced Data Analytics Lead Analyst looking for an exciting new challenge? We are looking for a passionate and driven individual to join our team and lead our data analytics initiatives. You will be responsible for developing and implementing data-driven strategies to improve our business operations and drive growth. If you have a knack for problem solving and a passion for data-driven decision making, this could be the perfect role for you!

Overview:

Data Analytics Lead Analyst is responsible for leading the data analytics team in the development of data-driven insights and solutions. The Lead Analyst will be responsible for developing and executing data-driven strategies, leveraging data to identify trends and opportunities, and developing data-driven solutions to improve business performance.

Detailed Job Description:

The Data Analytics Lead Analyst will be responsible for leading the data analytics team in the development of data-driven insights and solutions. The Lead Analyst will be responsible for developing and executing data-driven strategies, leveraging data to identify trends and opportunities, and developing data-driven solutions to improve business performance. The Lead Analyst will also be responsible for managing the data analytics team, providing guidance and direction, and ensuring that the team is meeting its goals and objectives.

What is Data Analytics Lead Analyst Job Skills Required?

• Strong analytical and problem-solving skills
• Knowledge of data analysis techniques and tools
• Ability to interpret and communicate complex data
• Ability to work independently and collaboratively
• Excellent communication and interpersonal skills
• Ability to manage multiple projects and tasks
• Knowledge of data visualization techniques
• Knowledge of database management systems

What is Data Analytics Lead Analyst Job Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field
• 5+ years of experience in data analysis and data-driven decision making
• Experience with data analysis tools such as SQL, Python, R, Tableau, etc.
• Experience with data visualization tools such as Tableau, Power BI, etc.
• Experience with data mining and machine learning techniques
• Experience with data governance and data quality management

What is Data Analytics Lead Analyst Job Knowledge?

• Knowledge of data analysis techniques and tools
• Knowledge of data visualization techniques
• Knowledge of database management systems
• Knowledge of data mining and machine learning techniques
• Knowledge of data governance and data quality management

What is Data Analytics Lead Analyst Job Experience?

• 5+ years of experience in data analysis and data-driven decision making
• Experience with data analysis tools such as SQL, Python, R, Tableau, etc.
• Experience with data visualization tools such as Tableau, Power BI, etc.
• Experience with data mining and machine learning techniques
• Experience with data governance and data quality management

What is Data Analytics Lead Analyst Job Responsibilities?

• Develop and execute data-driven strategies to improve business performance
• Leverage data to identify trends and opportunities
• Develop data-driven solutions to improve business performance
• Manage the