Data Analyst
The organization is actively pursuing a Data Analyst who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data.
The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
They must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations.
They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
- Develop complex data processing and data reporting solutions-Develop, troubleshoot and enhance Cognos cubes and reports-Development of Dashboard and Analytical reporting solutions using RDBMS and other data Analytics technologies-Expert in development of Tableau reports-Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.-Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Coordinate with different functional teams to implement models and monitor outcomes.-Develop processes and tools to monitor and analyze model performance and data accuracy.
- Database design, model and development for enterprise reporting database-Investigates and corrects software defects and analyzes and maintains data quality-Prepare comprehensive documentationSkills / Qualifications Required : -We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software / tools : -Coding knowledge and experience with several languages : .
NET, C#, Java, JavaScript, etc.-Knowledge and experience in statistical and data mining techniques : GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience querying databases and using statistical computer languages : R, Python, SLQ, etc.-Experience using web services : Redshift, S3, Spark, DigitalOcean, etc.
- Experience creating and using advanced machine learning algorithms and statistics : regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Experience analyzing data from 3rd party providers : Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Experience with distributed data / computing tools : Map / Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.-Experience visualizing / presenting data for stakeholders using : Tableau, Cognos, Power BI, etc.
- Strong problem solving skills with an emphasis on product development.-Experience using statistical computer languages (R, Python, SLQ, etc.
to manipulate data and draw insights from large data sets.-Hands on experience with SQL query development, using analytical functions-Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
and their real-world advantages / drawbacks.-Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.
and experience with applications.-Excellent written and verbal communication skills for coordinating across teams.-A drive to learn and master new technologies and techniques.
- Financial Services experience (Mutual Fund background preferred)-Knowledge of the Agile software development process-Superb communication (written and oral) and interpersonal skills
Related Jobs
Data Analyst
The organization is actively pursuing a Data Analyst who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data.
The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
They must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations.
They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
- Develop complex data processing and data reporting solutions-Develop, troubleshoot and enhance Cognos cubes and reports-Development of Dashboard and Analytical reporting solutions using RDBMS and other data Analytics technologies-Expert in development of Tableau reports-Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.-Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Coordinate with different functional teams to implement models and monitor outcomes.-Develop processes and tools to monitor and analyze model performance and data accuracy.
- Database design, model and development for enterprise reporting database-Investigates and corrects software defects and analyzes and maintains data quality-Prepare comprehensive documentationSkills / Qualifications Required : -We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software / tools : -Coding knowledge and experience with several languages : .
NET, C#, Java, JavaScript, etc.-Knowledge and experience in statistical and data mining techniques : GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience querying databases and using statistical computer languages : R, Python, SLQ, etc.-Experience using web services : Redshift, S3, Spark, DigitalOcean, etc.
- Experience creating and using advanced machine learning algorithms and statistics : regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Experience analyzing data from 3rd party providers : Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Experience with distributed data / computing tools : Map / Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.-Experience visualizing / presenting data for stakeholders using : Tableau, Cognos, Power BI, etc.
- Strong problem solving skills with an emphasis on product development.-Experience using statistical computer languages (R, Python, SLQ, etc.
to manipulate data and draw insights from large data sets.-Hands on experience with SQL query development, using analytical functions-Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
and their real-world advantages / drawbacks.-Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.
and experience with applications.-Excellent written and verbal communication skills for coordinating across teams.-A drive to learn and master new technologies and techniques.
- Financial Services experience (Mutual Fund background preferred)-Knowledge of the Agile software development process-Superb communication (written and oral) and interpersonal skills
Data Analyst
Great companies need great teams to propel their operations. Join the group that solves business challenges and enhances the way we work and grow.
Summary
Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work-life balance, flexibility, learning, and career development.
You’ll have the opportunity to add to your technical credentials and certifications while enjoying a great company culture above all.
We are looking for a talented Data Analyst who will be responsible for managing the reporting structure for several account(s) and significant project(s).
Your role in our mission
Essential Job Functions
- Builds visually appealing and informative client reports on Smartsheet
- Builds relationships with internal and external staff to ensure client expectations are being met
- Understands client reporting needs, designs and writes complex queries to address client recurring and adhoc reporting needs
- effectively perform analysis to answer client and internal team questions and support decision making by providing recommendations
- Proactively monitors integrity of the data flow through internal systems on a continuous basis and notifies internal teams of any inconsistencies
- Performs data analysis, identifies trends and issues, while translating data in a cohesive and concise message
- Monitors state legislative, regulatory, and competitive environment and alerts management to risks and opportunities
What we're looking for
Basic Qualifications
- BA / BS (IT / IS / Computer Science)
- 3+ years experience with SQL / Tableau
- 1+ year of Client Facing experience
- 2+ years of prior Healthcare experience
- Strong knowledge of MS Excel / Power Point / Word
What you should expect in this role
Work Environment
- Fully Remote (Within the US)
- Candidates MUST be US Citizens or Residents
- Sponsorship / VISA change is not eligible for this role
- Travel may be required up 10%
Put your passion to work at Gainwell. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits , and educational assistance.
We also have a variety of leadership and technical development academies to help build your skills and capabilities.
We believe nothing is impossible when you bring together people who care. Building your career with Gainwell, you’ll be joining a company where collaboration, innovation, and inclusion fuel our growth.
Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.
Gainwell Technologies is committed to a diverse, equitable, and inclusive workplace. We are proud to be an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We celebrate diversity and are dedicated to creating an inclusive environment for all employees.
Data Analyst
Overview
The Data Analyst position is responsible for managing, collecting, reporting, and analyzing data to inform academic and institutional effectiveness decision-making at Touro University.
The Data Analyst will serve the Office of Assessment and Planning by ensuring the integrity of the college’s data and assessment implementation analysis and reporting.
This position will also be responsible for assisting with the completion of internal / external assessment instrument design and reporting as well as custom reports for the institution.
This role will also work on select projects directly with the Director of the Office academic departments and Senior Management.
Responsibilities
Responsibilities include but are not limited to :
- Assist with collection, analysis, and submission of institutional data.
- Develop cyclical and ad-hoc data reports for internal and external stakeholders.
- Work with and analyze large complex data sets to inform academic decision-making.
- Translate institutional requirements into specifications to provide institutional reports, analytic dashboards, and visualizations.
- Remain abreast of process modifications and data collection relating to academics, student services, human resources, and finance.
- Continually assess existing processes and procedures for possible areas of improvement and provides feedback to supervisor.
- Collaborate with team members to collect and analyze data.
- Create documents, spreadsheets, and presentations as needed.
- Answer questions, solve problems effectively, and escalate appropriately.
- Perform special projects and assignments as requested.
Qualifications
Education / Experience
- Bachelor’s Degree or 1-3 years of relevant experience (preferably in data analytics, statistics, computer science, information technology, or related field).
- Master’s Degree preferred.
- Experience in higher education
- Experience with SPSS, Qualtrics, and MS Office platforms
- Experience with Tableau and SQL a plus
- SPSS Statistical Programming package experience and ability to manipulate and perform statistical analyses on institutional / program data.
- Qualtrics experience with knowledge of survey question design and creation, collection analysis, and reporting.
- A strong understanding of database structures, theories, principles, and practices especially with large / complex datasets like SQL
Knowledge / Skills / Abilities
- Strong analytical and problem-solving skills
- Ability to convert user requests into technical specifications
- Ability to QA and troubleshoot and visualize data
- Ability to assess and provide recommendations for improving research processes
- Strong communication skills demonstrated by the ability to research, write, edit, and produce documentation, training materials, and reports
- Work on multiple projects with the ability to prioritize deadlines
Maximum Salary
USD $63,000.00 / Yr.
Minimum Salary
USD $50,400.00 / Yr.
Data Analyst
Goodwill Industries of Greater New York and Northern New Jersey, Inc.
Job Description Form
Position Title : Data Analyst Location : 25 Elm Place / 25-09 Broadway
Reports To : Director of Data Analytics and Research
General Purpose :
Goodwill NYNJ has an exciting opportunity for a Data Analyst to join a growing, high-performing team that helps drive Goodwill’s decision-making through data-driven practices, analyses, research projects, and systems support.
This role will provide the opportunity to work on a variety of highly-visible, exciting analytic projects while encouraging creativity and growth within the team.
It will also provide broad exposure to the nonprofit, social service, and retail sectors in a dynamic, fast-paced, and rewarding environment.
Essential Functions :
Data Analytics
- Building real-time dashboards that present essential operational data for agency stakeholders
- Finding areas and ways to automate recurring business processes
- Managing and extracting data from a variety of sources ranging in complexity from Excel templates to structured SQL environments
- Supporting adherence to data quality protocols and performing quality assurance testing
- Sharing data with external entities on fixed intervals (e.g., monthly and annual reporting)
Data Analysis
- Partnering with leadership to identify areas for growth and increased mission impact by analyzing data from across the organization
- Unearthing patterns in data that warrant further investigation and analysis
- Utilizing appropriate tests to draw conclusions yielding accurate, action-worthy insights
- Effectively communicating sophisticated analyses outcomes to a broad audience, including executive leadership and department heads
Systems Support
- Helping to leverage the full potential of newly adapted data systems (e.g., Salesforce)
- Contributing to the vision for larger project builds (e.g., data warehouse, data lake)
- Working with external partners and vendors to determine the appropriate means for sharing data (e.g., SFTPs, APIs)
- Providing ongoing support of existing systems and related processes
Research
- Conducting small- to mid-scale research projects using administrative datasets with sources ranging from finance, mission, and retail domains
- Supporting the development of survey instruments and implementation of survey instruments intended to improve the services provided to Goodwill clients
- Coordinating the collection and processing of survey data
- Applying appropriate research methodology and communicating findings to internal and external stakeholders
Qualifications / Basic Job Requirements :
Basic Qualifications
- Bachelor’s degree in business, social sciences, public health, analytics, or related field
- Minimum of two years professional, full-time experience in applied analytical role
- Strong communicator, able to effectively partner with others to ensure the Data Analytics and Research team is meeting the needs of the organization
- Ability to confidently multi-task as needed
- Advanced proficiency in Microsoft Excel (e.g., Pivot Tables, VBA, macros)
- Expertise a common statistical or data science tool (e.g., R, Python)
- Demonstrable experience using dashboarding software (PowerBI, Tableau, or similar)
Preferred Qualifications
- Master’s degree in analytics, business, public health, public administration, or related field
- Prior applied experience with CRM platforms (Salesforce, Dynamics, or similar)
- Experience with SQL reporting and / or scripting
- Experience with survey methodology and collection tools
- Familiarity with qualitative analysis
GW2023
Analyst, Data Engineering
Description
About this role
Data Operations Engineering (DOE)
When BlackRock was started in 1988, its founders envisioned a company that combined the best of financial services with cutting edge technology.
They imagined a business that would provide financial services to clients as well as technology services to other financial firms.
The result of their vision is Aladdin, our industry leading, end-to-end investment management platform. With assets valued over USD $7 trillion managed on Aladdin, our technology empowers millions of investors to save for retirement, pay for college, buy a home and improve their financial wellbeing.
Data is at the heart of Aladdin and increasingly the ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage.
The DOE team is responsible for the data ecosystem within BlackRock. Our goal is to build and maintain a leading edge data platform that provides highly available, consistent data of the highest quality for all users of the platform, notably investors, operations teams and data scientists.
We focus on evolving our platform to deliver exponential scale to the firm, powering the future growth of Aladdin.
Software engineers at BlackRock get to experience working at one of the most recognized financial companies in the world while being part of a software development team responsible for next generation technologies and solutions.
Our engineers design and build large scale data storage, computation and distribution systems. They partner with data and analytics experts to deliver high quality analytical and derived data to our consumers.
We are looking for software engineers who like to innovate and seek complex problems. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual.
We are committed to open source and we regularly give our work back to the community. Engineers looking to work in the areas of data pipelines, discovery, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates.
Responsibilities
Developers are expected to be involved from inception of projects, understand requirements, architect, develop, deploy, and maintain applications.
Typically, they work in a multi-disciplinary squad (we follow Agile!) which involves partnering with program and product managers to expand product offering based on business demands.
Design is an iterative process, whether for UX, services or infrastructure. Our goal is to drive up user engagement and adoption of the platform while constantly working towards modernizing and improving platform performance and scalability.
Deployment and maintenance require close interaction with various teams. This requires maintaining a positive and collaborative working relationship with teams within DOE and with the wider Aladdin developer community.
Production support for applications is usually required for issues that cannot be resolved by the operations team. Creative and inventive problem-solving skills for reduced turnaround times are highly valued.
Preparing user documentation to maintain both development and operations continuity is integral to the role. Adhering to BlackRock's UX and design standards is expected and contributing towards the upkeep of those standards is encouraged.
Desirable Skills
- BA / BS in Computer Science or equivalent practical experience
- 0-2 years’ experience as a software engineer
- Robust object-oriented design pattern knowledge and implementation experience using Python.
- Experience with Python frameworks like Django, Flask and Pandas
- Experience working with large volumes of time series data and building services, APIs and applications based of it
- Experience in designing multi-tier application architecture and distributed caching solutions
- Strong understanding of data modeling techniques
- Experience working with relational / non-relational databases and understanding of storage technologies (like MySQL, Sybase, Snowflake, InfluxDB, Cassandra or HBase)
- Experience with dev ops tools like Git, Maven, Jenkins
- Experience with Agile development concepts and related tools
- Excellent written and verbal communication skills.
- Passion for learning and implementing new technologies
EarlyCareers
For New York City only : The salary range for this position is $111,625 $127,500. Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, leave benefits, and retirement benefits.
BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all.
Employees are currently required to work at least 3 days in the office each week, with the flexibility to work from home up to 2 days a week;
some business groups may require more time in the office due to their roles and responsibilities. Beginning in September, all employees will shift to at least 4 days in the office per week, with the flexibility to work from home 1 day a week.
We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation.
As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.