BS Summary: This article contains 10 faulty reasoning types, including Attempt to Sell a Product or Service, Biased Writer Voice, and Framing Effect, with Indoctrination as the most egregious example at 14.7% saturation with 115 hits. Analysis detected 476 faulty-reasoning hits from 780 analyzed words, generating a BS Score of 24.4% and a BS Rank of 8% (20,228 of 21,887 articles). This article is better (less manipulative) than 92.40% of the article peer group.
MinnPost is hiring a data journalist to produce distinctive, data-driven stories, visualizations, dashboards and other products that enhance readers’ understanding of complex issues affecting Minnesota.
We’re looking for someone whose reporting and analysis will hold those in power to account and illuminate and explain stories on state and local government on topics including the economy, housing, health, education, poverty, transportation, elections, the environment, public safety, and more.
We’re also looking for someone who can help the MinnPost newsroom innovate and embrace new tools, including AI, to better serve readers.
This journalist will frequently collaborate with our reporters on both quick-turn and in-depth stories that add context and insight while uncovering trends and key developments.
But he/she/they will also have time and space for solo stories and projects, contributing to MinnPost’s efforts to improve Minnesotans’ access to high quality journalism and equip them to make better decisions.
Through republication partnerships, outside appearances on other media and occasional MinnPost events, this writer’s work will help grow MinnPost’s reach and impact while solidifying our place in the broader Minnesota media ecosystem as the trusted, go-to source for in-depth, explanatory journalism.
The data journalist will be expected to regularly engage with colleagues and editors, contributing to a collaborative team keen on ensuring our stories engage readers on multiple platforms.
We’re looking for someone who has experience juggling and successfully executing both long and short-term projects.
MinnPost is a member of the Institute for Nonprofit News (INN), Local Independent Online News (LION) Publishers, and the Minnesota Newspaper Association (MNA), and we’re excited about the possibility for this journalist to connect with other newsrooms on data projects.
MinnPost was founded in 2007 and strives to be a trusted guide for Minnesotans seeking in-depth journalism about their state.
Our vision is a Minnesota where everyone is informed and equipped to shape the future of their communities.
In this role, you will:
Generate ideas, plan and execute both long-term and quick-turn data-driven stories and projects
Seek out existing data sources, make data requests and conduct interviews for data-driven stories
Scrape, clean and analyze data; create data visualizations
Collaborate with reporters and editors at MinnPost and occasionally with external partners on editorial projects
Work with editors to teach and encourage best practices in data journalism in the newsroom
At least three years of experience creating data-driven journalism
Outstanding data analysis skills and experience finding and requesting public data
Demonstrated mastery of Google sheets/Excel, Datawrapper, Ruby, Python and other data analysis, visualization, and programming tools
Experience applying AI tools for data analysis and other reporting tasks
Solid writing and excellent communication skills, including the ability to explain complex issues and ideas to colleagues and readers
Ability to multitask and work on deadline, turning stories quickly when necessary
Self-starting, proactive attitude and a track record of collaborating with colleagues
There are great candidates who might not check all these boxes or who hold important skills we haven’t listed.
Don’t hesitate to apply and tell us about yourself.
To better reflect the communities we serve, we seek to recruit staff members from many backgrounds and with diverse identities.
MinnPost is an equal opportunity employer.
We strongly encourage members of traditionally underrepresented communities to apply, including people of color, LGBTQ+ people, and people with disabilities.
The expected range for this position is $85,000-$95,000.
Applicants must be eligible to work in the United States.
The position is based in Minnesota, with a preference for the Twin Cities.
Candidates currently located outside of Minnesota would need to relocate within six months.
This position is covered by collective bargaining agreement with TNG-CWA 37002, the Minnesota Newspaper & Communications Guild.
Health insurance (80% for employees / 50% for partners or dependents)
Dental insurance with employer paying 80% of premiums for employees
401(k) dollar-for-dollar employer match up to 3% for all 401(k) contributions or eligible student loan payments
Monthly phone stipend
Generous time off: 15 days vacation per year to start, 8 paid holidays, 4 floating holidays, 12 days sick time
Paid birthing person health leave (100% up to 6 weeks) and paid family leave (100% up to 8 weeks)
Short-term disability insurance
Options for employee-paid, vision, long-term disability, and supplemental life insurance
We’re committed to maintaining a healthy work-life balance and providing a place for staff to feel supported in their professional growth and achieve ambitious goals.
To apply, please submit a resume, 3-5 examples of your work and answer a few application questions using this form .
The priority deadline is August 24, 2026.
Applications submitted after the priority deadline will be reviewed on a rolling basis.
The post MinnPost is hiring a data journalist appeared first on MinnPost .
Speakers
2speakers7.3%attributed speech723writer words
Voice mapSelect a segment to jump to its words
Selected voice
100%flagged-word coverageInstitute for Nonprofit News (INN)
40 attributed words70% of attributed speech34% writer coverage
Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.
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Analysis
Hover over highlighted words in the article to view the associated bias or fallacy analysis.