Harnham

Big Data Jobs

Get the most out of your data

Big Data has become a crucial component to countless businesses and those who decide to pursue a career within it face challenges including analysis, capture and visualization of data sets too large for traditional data processing applications.

Recruitment is not just about filling vacancies, it’s about creating lasting relationships while helping to advance the industry we work in. At Harnham, we aim to place only the best talent whilst ensuring our clients and candidates have positive experiences.

Whilst businesses may have vast quantities of data at the ready, it holds no real value unless it can be stored, harnessed and utilized. It’s estimated that most US companies have at least 100 terabytes of data stored which could be used for various purposes around the business. This is where those who work in Big Data become extremely valuable, as they develop the strategies, techniques and digital analytics architecture to organize the information.

At Harnham, we are constantly trying to assist the development of the data and analytics industry by constantly providing our own analysis. We work with the sector to produce annual salary guides based on our candidates and clients data.

Latest Jobs

Senior Data Engineer
Salary

US$160000 - US$180000 per year + Bonus + Equity + Benefits

Location

San Francisco, California

Description

An innovative growing startup has captivated millions across the country with their new product that will forever revolutionize how we communicate!

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Senior Data Engineer
Salary

US$150000 - US$200000 per year + Bonus + Equity + Benefits

Location

San Francisco, California

Description

Based in SF, our pivotal client is looking for an individual to design, develop, and implement custom data models to solve real-world problems in healthcare.

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Data Engineer
Salary

US$110000 - US$140000 per year + Bonus + Benefits

Location

San Francisco, California

Description

A company in the gritty city of San Francisco is looking for a well-versed data engineer that will build out the infrastructure, pipelines, and analytic tools.

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Data Engineer - Python + SQL + AWS
Salary

US$100000 - US$130000 per year + Comprehensive Benefits

Location

New York

Description

Our client is a leading Non-profit Organization that is seeking to massively improve education outcomes through the efforts of political campaigning!

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Analytics Engineer Manager
Salary

US$140000 - US$170000 per year + Bonus + Equity

Location

San Francisco, California

Description

One of the top CRM software company is looking for an Analytics Engineer Manager to join them in San Francisco.

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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

The Next Generation of Data Analysts

From coast to coast, a new breed of data analyst rises. No longer siloed and pigeon-holed into one specific area or another, today’s professional must be able to nuance actionable insights for better business predictions and performance. The evolving role of data analyst marries technical prowess and analytical skills with the soft skills of coaching and communication. Every organization from AdTech to FinTech to the Food and Beverage Industries, and every industry in between, depends on data. In fact, by 2020, IBM estimates the number of open positions in the U.S. for data professionals will increase to 2.7 million. Yet, the surge and the shortfall in analytics talent remains as data analyst recruitment efforts rise to the challenge. Broaden Your SkillSet With high demand and short supply comes the opportunity to go beyond your comfort zone and expand your skillset. Add to that companies that may not have the budgets to cover their recruitment efforts and the data analyst skillset must expand to meet the demand. From technical to soft skills, below are a few things to keep in mind when crafting your resume or CV: Don’t shed the basics of analytical mainstays such as Excel, SQL, and SAS; enhance them with languages such as R and Python. Want to boost your chances to the top of the pile? Don’t forget next generation tools and platforms like Tableau, Domo, Adobe Analytics, and/or Snowplow.Be specific: Companies will be more interested in interviewing you if you can clearly outline why/what you have used different technology for.Keep this punchy, concise, and outline your in-put with said technologies.Outline projects you’ve worked on.Become a storyteller – communicate key insights more effectively with the power of data, visualization, and narrative. The ability to tell a story with data can translate across business functions and departments for a unified predictive or prescriptive analysis for more impact.Offer actionable Insights - put the power of actionable insights into decision makers’ hands with real life application explanations. Steward data responsibly. Data governance is now business critical and the new data analyst must be able to act with fiduciary responsibility to ensure data privacy. Data must be protected, standards must be followed, and trust must be maintained I, Meet RobotThe blending of the physical and digital worlds through AI, Machine Learning, and IoT remain the frontrunners in technology through 2020. According to McKinsey’s Report Ten IT-enabled Business Trends for the Decade Ahead, the latest technologies shaping the current business world include automated knowledge work, the mobile platform, and the Cloud. Skillsets and experience within these three technologies are the next wave in the modern digital world and it’s the new breed of data analyst who can best rise to the challenge to fill the gaps.Not only will these three technologies make an impact, but the impetus of social platforms and their data will be a powerful contribution to business outcomes. This melding of the physical and digital worlds allows businesses to understand and implement the collected data in scenarios in real-time driving them forward to better reward.Your TurnIn this section, we ask our candidates and clients what we as recruiters can do to help you find the perfect fit. This is your chance to answer and ask questions as well as get creative in helping us improve our efforts in data analyst recruitment. Below are a few questions to get you started.What kind of cross-training programs might businesses and schools employ for future Data Analysts?What other backgrounds are we overlooking in our quest to for the next generation of data analyst as businesses seek to find and engage this most critical role within their data teams?What can we, as recruiters do to engage qualified candidates ready for their next role in the world of data and analytics? If you’re a data analyst ready to spread your wings, we may have a role for you, check out our current vacancies or contact us to learn more.For the East Coast and Mid-West teams please call 212-796-6070, or email newyorkinfo@harnham.com.For the West Coast team call 415-614-4999 or email sanfraninfo@harnham.com.

Jason Do Nguyen

09. May 2018

Big data and BI in healthcare

Last week, we reviewed a few highlights from 2017. One of those highlights was the IoT of healthcare. In the conclusion of our 2-part series, we’ll take a look at a few tech trends for 2018 and their impact on the growing digital technology within the healthcare industry. As the population ages, it’s important to form ranks, consolidate information, and utilize insights from big data and analytics for improved healthcare.Healthcare systems across the country are feeling the pinch to consolidate and work together to provide improved healthcare to their patients regardless of the political climate and San Francisco is no exception. San Francisco boasts a thriving economy and in a region often segmented by its marketplaces, healthcare organizations are coming together as independent hospitals get folded into larger systems or disappear altogether. Combined with the biggest driver of change – consumer demand – healthcare is just one of the industries poised to welcome digital technology to its doors. What better way to provide improved services and manage expenses across health systems?Business Intelligence is Critical to HealthcareHospital and Healthcare systems are complex warehouses utilizing vast amounts of data to support operations and provide patient care. As data sources increase, healthcare organizations must keep up and with advanced analytics to support decision-making capabilities, they can. Data visualization tools, predictive modeling, and business intelligence software applications can help organizations gain insight to ensure best practices are in play, but also patient satisfaction, clinical operations, and administration and management hum like the well-oiled machine they are to continuously improve services.Elevating care throughout all departments and becoming a value-based organization can only be achieved through the intelligent application of data-derived insights obtained thanks to comprehensive, advanced BI software.Deriving Value from Healthcare AnalyticsPredictive modeling and data visualization are key components in deriving value from healthcare analytics, though central to BI users understanding of information received, helps process patient data insights. Applying insights to vital areas of patient care, hospital management and operation, help to answer the questions “why” and “what will happen in the future”, rather than the formerly reactionary “what happened”.Healthcare dashboards offer simple, streamlined, and efficient business intelligence to help leverage data for improved services and care. Patient-related insights are crucial to making this happen. Using advanced analytics, healthcare institutions have the power to ask important questions about the future to inform their decision-making. The ability to ask the important questions allows healthcare management to take proactive steps towards preventative treatment in real-time to provide the best care for their patients. On the Cutting Edge – Tech Trends for Healthcare and Across IndustriesElectronic Healthcare Records Management (EHRM), wearable devices, digital medicine, and cutting edge applications are just a few of a long list of the Internet of Things (IoT) in healthcare. Spurred by innovations in edge devices such as intelligent routers, gateway servers, and device firmware, computer power has shifted IoT computing to the edge. This trend will improve processes and further engage customers leading to immersive experiences. Imagine not only tracking your heart rate, but receiving an EKG in real-time, right from your watch. No trip to the doctor’s office required.Machine learning is on the rise as AI technologies help software systems learn on their own. Improvements in AI technologies, particularly in regard to speech analytics, natural language progression, and deep-learning platforms have firms poised to scale their businesses more efficiently as software learns to adapt without programming.As technology advances, humans are increasingly found working side-by-side with software robots. Yet, robots are not pushing humans out of the workforce as once imagined. Though repeatable tasks such as search, collate, update, and access multiple systems are some of the jobs being automated, it’s estimated 25 percent of jobs will be transformed through the advent of social machines. This move in social machines is where robot software meets human interaction for increased opportunities.If you’re interested in bringing your big data skills to healthcare, we may have a role for you. We’re currently recruiting for a Senior Data Engineer (Remote) or check out our other vacancies.For the East Coast and Mid-West teams please call 212-796-6070, or email newyorkinfo@harnham.com.For the West Coast team call 415-614-4999 or email sanfraninfo@harnham.com. 

Angela Rego

17. January 2018

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