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Octave combines deep data with profound empathy to supercharge our comprehensive approach to improving outcomes in neurodegenerative diseases, starting with Multiple Sclerosis (MS). Our team of data scientists, biologists, clinicians and technologists are bringing their A-game to creating the next generation of clinical care solutions.
Using human-tech services, we partner with people with multiple sclerosis (PwMS) to understand and act upon the complexities and subtleties they deal with every day. Our platform of apps, sensors and wearables, cutting edge imaging technologies, and novel biomarkers provide the data that feed into structured analytical data models aimed at improving care management decisions to create better patient outcomes at lower costs.
The Data Analyst team member will play an integral role in bringing these key innovative technology solutions to life sciences and will have a large impact on the growth and development of our products. You will work directly with Engineering and Product teams to translate cutting-edge research and technologies into solutions that will directly impact patients and physicians.
We enjoy coming to work each day to move the mission forward using the latest tools and techniques. Empathy for the person living with a chronic disease is paramount. We are looking for someone that can think on their feet and thrives in a collaborative dynamic environment. Being comfortable in an intellectually charged environment and having a desire for personal career growth by learning and applying new skills are musts. If you are looking for the next big challenge that will allow you to apply everything you know to a problem worth solving, Octave is the place for you.
Minimum:
Preferred:
Minimum:
Preferred:
We are doing great things that allow us to bring everything we know and all our experience to the mission. We are smart, fun, and thrive on bringing out the best in each other. We have a balanced and flexible working environment. The Octave office is located in Menlo Park surrounded by life science innovators (e.g. Grail) and tech innovators (e.g Facebook). Our space is newly built to our specifications, open, with a vintage factory vibe, and well-appointed, with free drinks and snacks. World class gym 100 feet away with pool. We offer a choice of health, dental, and vision plans. Close to many commute options. This role can be fully remote or hybrid based on your preference.
Full Time
$75k-97k (estimate)
03/21/2023
03/27/2023
octavebio.com
Menlo Park, CA
<25
The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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Step 3: View the best colleges and universities for Data Analyst.