Application Analyst - Data UK-Remote

Application Analyst - Data UK-Remote

Full-Time 35000 - 47000 £ / year (est.) Working from home possible
PLOS GmbH

At a Glance

  • Tasks: Enhance data management and integration across applications to support scientific research.
  • Company: Join PLOS, a nonprofit leader in open science and research communication.
  • Benefits: Enjoy remote work, competitive salary, private medical insurance, and generous holiday leave.
  • Other info: Be part of a diverse team committed to equity and inclusion in science.
  • Why this job: Make a real impact in the scientific community while developing your tech skills.
  • Qualifications: Experience with data tools like Tableau and SQL; strong analytical and communication skills.

The predicted salary is between 35000 - 47000 £ per year.

PLOS is a nonprofit, Open Access publisher empowering researchers to accelerate progress in science and medicine by leading a transformation in research communication. The Application Analyst – Data will focus on improving how PLOS manages, connects, and understands data across its application ecosystem. This role will center on integrating systems, ensuring data consistency and accuracy across platforms such as Tableau, SQL, and other reporting tools, while learning and supporting Editorial Manager (EM) as needed. The analyst will act as a data steward for the applications team—monitoring data quality, maintaining field mappings, and ensuring seamless data flow between systems.

The Application Analyst has a strong understanding of enterprise level applications, understands both their current configurations and our business objectives, and is responsible for supporting and implementing scalable solutions proactively and effectively. The Application Analyst is responsible for working closely with stakeholders, other Digital team members, and end-users to refine and prioritise user demands, to support a robust ecosystem of solutions, and to ultimately help the organisation achieve its business goals. This position demands an understanding of information technology concepts as well as strong communication skills, with an eye for agile process optimization, continuous improvement, and excellent customer service.

Responsibilities
  • Administer and maintain various environments within your designated enterprise applications (e.g. Tableau, JIRA, Confluence, Alchemer, NetSuite, HubSpot) including data management, system configuration and security practices.
  • Perform routine maintenance tasks (i.e. monitoring usage and archiving data as needed).
  • Advise business users on application usage and best practices.
  • Proactively monitor usage and identify and propose improvements.
  • Facilitate collaboration among stakeholders to translate business requirements into technical specifications and estimates.
  • Communicate policies and outages, bugs, workarounds and solutions to internal and external users.
  • Provide end-user support and administration for all user needs: including user account maintenance, reports, and dashboards.
  • Act as a subject matter expert for internal stakeholders, participating in chartered and team programs and communicating stakeholder needs within the Platforms team.
  • Partner with the Technology Services team to establish and enhance application integrations and uphold security best practices.
  • Create and maintain technical documentation on policies, procedures, and workflows and deployed configurations.
  • Troubleshoot and work with staff and/or vendors to resolve reported issues, escalating technical issues to the vendor for resolution as necessary.
  • Maintain and enhance relationships with system vendors.
  • Uphold a high standard of customer service to all as a representative of the Digital team.
  • Ensure compliance with relevant standards, regulations and PLOS’s internal policies.
  • Manage data in accordance with our Information Governance policy and other legal frameworks, such as GDPR.
  • Ensure systems and data are secure in accordance with our cybersecurity policy.
  • Monitor and evaluate incoming issues, ensure timely follow-up, and foster a culture of support.
Knowledge and Skills
  • Proficiency with data and reporting tools such as Tableau, SQL, and related data visualization or analytics platforms.
  • Understanding of system integrations, data mapping, and ensuring data quality and consistency across applications.
  • Strong analytical and collaboration skills, with the ability to partner effectively with engineering and other teams to support data-driven initiatives.
  • Experienced with administering enterprise systems or platforms.
  • Enterprise application certification(s) a plus.
  • Business analysis background with additional focus on business process management.
  • Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
  • Strong understanding of typical operational workflows spanning multiple business functions and systems (e.g. Sales, Marketing, Customer Service, Finance, etc.).
  • Excellent communication skills, both verbal and written.
  • Must be able to clearly articulate and present findings and recommendations to both technical and non-technical team members.
  • Results driven, capable of balancing multiple high priorities and quickly determining priority.
  • Ability to multitask, prioritising multiple assignments to meet deadlines.
  • Self-directed and capable of working under minimal supervision.
  • Familiar with Agile development methodologies.
  • Positive approach to problem-solving.
Qualifications
  • Bachelor's degree in a technical or scientific field or equivalent experience.
  • Administrator certification for applications which offer them.
  • Experience with scientific research publishing is desirable.
  • Experience working with Publication Management Systems (Aries Editorial Manager) or similar submission tracking systems highly desirable.
Physical Requirements and Work Environment
  • Prolonged periods stationary at a desk and working on a computer.
  • Some domestic and/or international travel may be required.
  • Rare, but occasional after-hours (evening or weekend) work.

The base salary range we’ve established for these positions is £35,000-£47,000. PLOS also offers a comprehensive benefits package summarized below.

BENEFITS:
  • Private medical insurance.
  • Life assurance.
  • Income protection.
  • Pension with up to 10% employer match.
  • 25 days holidays, market competitive.
  • Maternity and Paternity leave.
  • Birthday and three winter holidays days off.
  • 2 days paid time off for volunteering per year.
  • Fully remote work environment with stipend on joining for home office.

About PLOS: Building on a strong legacy of pioneering innovation, PLOS continues to be a catalyst in open science, reimagining models to meet open science principles, removing barriers and promoting inclusion in knowledge creation and sharing, and publishing research outputs that enable everyone to learn from, reuse and build upon scientific knowledge. Our work is supported by a highly skilled global in-house team, partnerships with local scholarly organizations, and the valued contributions of a diverse, international community of scientific researchers.

We’re committed to equal opportunity. We’re working to create a more equitable system of scientific knowledge and understanding. Removing barriers to inclusion and facilitating broad participation of voices is core to our success, inside and out. Beyond accepting distinct perspectives, we seek and support divergent backgrounds among our staff because we know differences strengthen our teams, our work, and our communities. We strongly encourage applicants of all identities to join us as we work towards a future where science is open to all, for all.

Application Analyst - Data UK-Remote employer: PLOS GmbH

PLOS is an exceptional employer that champions a culture of inclusivity and innovation, offering a fully remote work environment that promotes work-life balance. With a comprehensive benefits package including private medical insurance, generous holiday allowances, and opportunities for professional growth, PLOS empowers its employees to thrive while contributing to meaningful advancements in open science. Join a diverse team dedicated to transforming research communication and making a global impact.

PLOS GmbH

Contact Details:

PLOS GmbH Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Application Analyst - Data UK-Remote

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PLOS GmbH!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Application Analyst - Data UK-Remote at PLOS GmbH.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PLOS GmbH.

Apply Directly through Our Website

When you find a suitable opening like Application Analyst - Data UK-Remote at PLOS GmbH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Application Analyst - Data UK-Remote

Data Management
System Configuration
SQL
Tableau
Data Quality Assurance
Application Integration
Technical Documentation

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at PLOS GmbH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PLOS GmbH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at PLOS GmbH

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PLOS GmbH!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.