Description :

• In addition to the responsibilities listed below, this position is also responsible for solving client analytics problems;
• communicating results and methodologies; developing experimental design approaches to validate findings or test hypotheses;
• defining validity of information, how long information is meaningful, and relation to other information; working with data steward to ensure information is in compliance with regulatory and security policies;
• and qualifying where information can be stored or what information may be used in support of the use case. This position is also responsible for identifying and analyzing patterns in the volume of data supporting an initiative, data type, and speed or sudden variations in data collection;
• partnering with data stewards to define data quality expectation for specific use case; educating the organization both from IT and business perspectives on new approaches to testing hypotheses and statistical validation of results;

helping the organization understand principles and math behind the process; and providing on-going tracking and monitoring of performance of decision systems and statistical models.

Essential Responsibilities :

• Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with coworkers and customers;
• building relationships with cross-functional stakeholders; influencing others through technical explanations and examples;
• adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback;
• providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration;

and adapting to and learning from change, difficulties, and feedback.

• Completes work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines;
• ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions;

solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.

Executes creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed;

defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and / or predictive statistics.

• Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency;
• evaluating and summarizing data and results; creating summary statistics; developing data reports, visualizations, and / or interactive Business Intelligence (BI) reports;
• reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions;

and preparing documentation as appropriate.

Interprets data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making;

and providing context related to data interpretations and / or limitations as appropriate.

• Drives strategic data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures;
• translating business requirements; determining data / information needs and data collection methods; developing analysis plans;
• measuring the impact of business decisions on clients, customers, and / or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis;

supporting and training end-users; and documenting processes and deliverables.

Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources;

completing routine data refresh and update; developing and / or delivering tools for electronic data collection; and providing user training, support, and documentation.

Develops analytical and / or statistical models enabling informed business decisions by determining data and analytical requirements;

creating models leading to actionable insights; and testing, refining, and validating models.

Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data;

and cleaning and creating final data set(s) for analysis.

Minimum Qualifications :

• Minimum three (3) years machine learning experience.
• Minimum three (3) years experience working with data visualization tools.
• Minimum three (3) years programming experience.
• Minimum three (3) years statistical analysis and modeling experience.
• Minimum one (1) year experience in a leadership role with or without direct reports.
• Bachelors degree in Mathematics, Statistics, Engineering, Social / Physical / Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related field.

Additional equivalent work experience in a directly related field may be substituted for the degree requirement.

Additional Requirements :

Knowledge, Skills, and Abilities (KSAs) : Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining;

Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management

Preferred Qualifications :

• Three (3) years experience working with Business Objects.
• Three (3) years study design experience.

I am working with a global, multi-strategy hedge fund in San Francisco, CA that is looking to add either a data scientist or quantitative researcher to join their hypothesis-driven data science research team that combines the most innovative data analyses and quantitative tools with the firm's fundamental research.

You will be working directly with multiple investment teams on a daily basis, and even have the ability to generate your own data-driven insights.

Responsibilities :

• Develop and maintain mission-critical data pipelines and analytical tools that streamline and scale the data engineering life-cycle from ingestion to insight
• Support day-to-day research operations of the team and take part in continuous improvements to research quality by applying creative problem-solving to a wide variety of research questions

Job Requirements :

• Masters or bachelors required (Min : 3.6 GPA) from a top accredited university
• Extensive experience working with alternative data on either buy-side or sell-side
• Highly skilled in Python and SQL

Must be US Citizen / Green Card Holder / Perm Resident

Job Locations : San Francisco, or Chicago, only. This is a hybrid role but must able to commute to the office.

At Cisco Meraki, we believe that when passionate people are able to spend less time struggling with technology, they can spend more time on what matters - like teaching children, running businesses, keeping airports safe, and connecting disaster victims with relief.

That’s the real power of simplicity. Cisco Meraki is the leader in cloud-managed IT, thanks to our creative, inclusive, fearless team that is driven to simplify technology so the world can simply work!

You :

We are seeking a skilled Data Analyst to join our team in our Supply Chain organization. The Data Analyst will be responsible for collecting, cleaning, analyzing, and presenting data to support business decision-making.

The successful candidate will work closely with other departments to understand their data needs and provide them with the insights they need to make informed decisions.

You are an experienced professional using best practices, specialized expertise, and knowledge of internal or external business issues to improve operational services.

You work independently and receive some guidance and direction from your manager then determine the best approach to accomplish work.

You act as a resource for colleagues with less experience and solve complex problems while taking a broad perspective to identify innovative solutions.

What You Will Do :

Cisco Meraki is looking for a new Data Analyst to join our Supply Chain Team in San Francisco! As the fastest growing cloud-managed networking team in the world, our products and technology architecture are changing the face of enterprise networking and making cloud-managed IT a reality.

We also understand on a personal level, by simplifying powerful technology we can free passionate people to focus on their mission.

Collect and organize data from various sources.

Build SQL queries to meet business needs.

Clean and validate data to ensure its accuracy and reliability.

Analyze data using statistical methods and data analysis tools to derive insights and make predictions.

Identify trends and patterns in datasets and communicate synthesized data results.

Create reports and visualizations, such as graphs, charts, and dashboards, that are easy to understand and interpret.

Collaborate with other departments to understand their data needs and provide them with insights they need to make informed decisions.

Stay up to date with the latest trends and tools in data analysis, such as machine learning, artificial intelligence, and big data analytics.

Identify opportunities for process improvement and automation.

Who You Are :

We strive to create a welcoming workplace that inspires the insatiably curious and the relentlessly focused to make customer IT and networks utterly simple.

We are looking for an individual that lives the Meraki values daily : care deeply, be brave, simplify everything, and everybody in.

Our ideal candidate is not bound by a checklist, which includes,

Bachelor's degree in mathematics, statistics, computer science, data science, or a related field.

Proven experience as a Data Analyst, Data Scientist, Data Engineer, or similar role.

Proficiency and professional experience in SQL, Excel and programming languages such as Python and R

Proficiency in data visualization tools such as Tableau, PowerBI or Qlik.

Familiarity with statistics, data modeling, data warehousing and ETL pipelines.

Strong analytical and problem-solving skills.

Excellent communication skills

Ability to work independently and in a team environment.

Attention to detail and strong organizational skills.

Why Cisco Meraki?

We connect everything : people, processes, data, and things. We innovate everywhere, taking ambitious risks to craft the technologies that give us connected cities, connected cars, and handheld hospitals.

And we do it in style with unusual personalities who aren't afraid to change the way the world works, lives, plays and learns.

We are encouraging leaders, tech geeks, pop culture aficionados, and we even have a few purple haired rock stars. We celebrate the creativity and diversity that fuels our innovation.

We are dreamers and we are doers. We Are Cisco Meraki.

At Cisco Meraki, we’re challenging the status quo with the power of diversity, inclusion, and collaboration. When we connect different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people.

We’re building an employee experience that includes appreciation, belonging, growth, and purpose for everyone.

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Compensation Range : $80,100 $144,400 USD

Message to applicants applying to work in the U.S. :

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.

S. locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses.

Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training.

Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.

Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday, plus a day off for their birthday.

Employees accrue up to 20 days of Paid Time Off (PTO) each year and have access to paid time away to deal with critical or emergency issues without tapping into their PTO.

We offer additional paid time to volunteer and give back to the community. Employees are also able to purchase company stock through our Employee Stock Purchase Program.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components.

For quota-based incentive pay, Cisco pays at the standard rate of 1% of incentive target for each 1% revenue attainment against the quota up to 100%.

Once performance exceeds 100% quota attainment, incentive rates may increase up to five times the standard rate with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

Data Analyst

You will be responsible for analyzing public datasets provided by various agencies to answer questions that matter to local residents.

You will design and build parsing tools and dashboards. To be qualified for this position you must have a 4-year degree in Statistics or a related field, strong Python skills, 4+ years of experience in

Data Analysis and SQL

Data Analyst

Center for Innovation

Classification : Level 1 / Class Code 2038 / Exempt / Full-Time / Benefited / Remote-optional

Hiring Salary Range : $59,998

THE ROLE

The Center for Innovation at the UC Law SF seeks a Data Analyst to support the Center's research and work directly with Professor Robin Feldman.

The research work will include data mining with design of optimal algorithms for big data analytics project related to Medicare claims data, along with statistical analysis and interpretation.

The ideal applicant will have undergraduate level knowledge of modern data mining approaches and technical tools needed to conduct novel research.

RESPONSIBILITIES

Typical duties and responsibilities consist of, but are not limited to, the following :

• Designing and implementing research plan for Medicare claims and other pharmaceutical and patent data for grant project;
• Data mining for big data projects;
• Writing reports of results for funders and policymakers;
• Editing papers designed for peer-reviewed publications.
• Performs other duties as required.

REQUIREMENTS

EDUCATION AND EXPERIENCE

• Undergraduate degree in computer science, statistics, data science, or business analytics. Ideal applicants will have at least 2 years of experience in data interpretation and will have the opportunity to influence policy and public discussion through their data analysis and writing.
• Up-to-date graduate-level computer science and statistical analysis coursework required

KNOWLEDGE, SKILLS & ABILITIES.

• Strong knowledge in Python, R, SQL, and PySpark;
• Ability to design optimal algorithms and perform data mining of Medicare claims and other pharmaceutical and patent data, exploratory data analytics, and statistical testing, as well as to design academic empirical projects at an academic peer-review level
• Ability to design machine-learning artificial intelligence projects;
• Must have excellent oral and written communication skills, including grammar, spelling and punctuation;
• Must be energetic, articulate, detail-oriented with excellent organizational skills and able to thrive in a fast-paced environment.

BENEFITS

Health and Welfare Benefits

• Comprehensive medical, dental and vision insurance coverage
• Flexible Spending Accounts for transportation-related, healthcare and dependent care expenses
• Employee Assistance Program

For your Financial Future

• Life Insurance, Disability Insurance, and Legal Insurance
• University of California Retirement Plan (a defined benefit plan)
• Deferred Compensation Plans / Pre-tax Retirement Savings Programs

For your Work / Life Balance

• Fourteen paid holidays per year
• Generous vacation and sick leave
• Commuter Benefits Program

THE HIRING PROCESS

This position has been designated as sensitive and requires a pre-employment background check.

This position is on an annual contract. Renewal of the contract is contingent upon satisfactory job performance and continued available funding for this position and department.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact Human Resources if you require a reasonable accommodation to apply for a job.

Examples of reasonable accommodation include making a change to the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

WHAT TO EXPECT

Applicants who meet the position requirements will be competitively evaluated to identify the individuals whose breadth and depth of experience and education most closely relate to the stated requirements and the needs of the College.

Depending on the quality and number of the applications received, only the better qualified applicants may be contacted for an interview.

The position is open until filled.

The skills listed above are comprehensive, and we understand there are great candidates who possess only a subset of those skills, or who have other important skills.

If you match some of these skills, please do not hesitate to apply.

UC Law SF is an equal opportunity employer. UC Law SF strives to provide a diverse and inclusive educational environment that fosters cultural awareness, mutual understanding and respect.

UC Law SF is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching.

Qualified women and members of underrepresented minority groups are strongly encouraged to apply.